JuliaCon 2026

My name is Aldo Giuliani. I have a master’s degree in Biomedical Engineering and I am a PhD student in Artificial Intelligence and Biomedical Engineering at the “Magna Graecia” University of Catanzaro, Italy.

Currently co-founder and CEO at Harmoniqs, a startup building Julia-based quantum optimal control and calibration software. Previously, a research associate in the Robotics Institute at Carnegie Mellon University. An avid reader, climber, runner, and Bialetti coffee drinker.

Software Engineer at JuliaHub

Lead developer of ModelingToolkit.jl and underlying symbolic infrastructure

Research Software Engineer at the Netherlands eScience Center.

I am a first-year PhD student in the Frost Group at Imperial College London. I work on semi-empirical methods in electronic structure theory, focusing on the Hückel and Pariser-Parr-Pople (PPP) methods. For these, I am studying machine learning methods that can be used to optimise the empirical parameters.

I am an associate professor in Tokyo Woman’s Christian University and Kyoto University, visiting researcher of RIKEN using Julia for lattice QCD with machine learning.

My CV: https://www2.yukawa.kyoto-u.ac.jp/~akio.tomiya/index_en.html

Hello everyone! My name is Alberto Paparella, and I am currently a PhD student in Mathematics at the University of Ferrara. My main interests are Mathematical Logic, specifically Many-Valued and Modal Logics, and Machine Learning. In the last few years, I have been working with the Applied Computational Logic and Artificial Intelligence Laboratory on the SOLE framework for Symbolic Learning in Julia, where my main contributions have been a sub-module for the SoleLogics.jl core package to work with Many-Valued Logics and a package for satisfiability and authomated theorem proving for Many-Valued Multi-Modal Logic based on analytic tableau technique, namely SoleReasoners.jl.

Alex Wiens works as High-Performance Computing (HPC) advisor at the Paderborn Center for Parallel Computing (PC2). His work's focus is performance analysis, consultation and training.

Alex is an Associate Professor in Geoinformatics and a Distributed Spatial Systems Researcher with many years of experience in geospatial data management and web- and cloud-based geoprocessing with a particular focus on land use, soils, hydrology, hydrogeology and water quality data. His interests include Discrete Global Grid Systems (DGGS), OGC standards and web-services for environmental and geo-scientific data sharing, modelling workflows and interactive geo-scientific visualisation. He is also the European co-chair of the OGC DGGS working group.

I'm a software engineer based in Brisbane, Australia. My interests are in mathematical optimization and numerical methods for engineering and science. I code only in Julia in my spare time.

I am a third-year Physics PhD student at the University of Vienna in the research group of Prof. Reinhard Maurer.

My research focuses on the simulation of light-driven hydrogen evolution. A number of experiments using ultra-fast laser pulses have indicated that the transfer of energy from light into molecular degrees of freedom is more selective than under purely thermal conditions, potentially enabling more efficient catalysis.

The complex interactions between electrons, light and adsorbate molecules at metal surfaces are not well understood, both due to the computational power required to simulate molecular dynamics outside the Born-Oppenheimer approximation, as well as the different time scales of electronic, lattice and electromagnetic responses.

A variety of methods has been developed to include the effects of electron-nuclear coupling in classical molecular dynamics, such as electronic friction or surface hopping.

In combination with machine-learning methods to calculate interatomic potentials and other parameters, I hope to simulate non-thermal hydrogen surface chemistry in adequate detail at reduced computational cost.

To better capture light-matter interactions at a sub-picosecond scale, I will attempt to use and improve methods to describe light excitations beyond the methods currently used to verify experimental results.

Alexandre Bergel is a Computer Scientist at RelationalAI, Switzerland. Until 2022, he was an Associate Professor and researcher at the University of Chile. Alexandre Bergel and his collaborators carry out research in software engineering. His interest includes designing tools and methodologies to improve the overall performance and internal quality of software systems and databases by employing profiling, visualization, and artificial intelligence techniques.

Alexandre Bergel has authored over 170 articles, published in international and peer-reviewed scientific forums, including the most competitive conferences and journals in the field of software engineering. Alexandre has served on over 175 program committees for international events. Several of his research prototypes have been turned into products and adopted by major companies in the semiconductor industry, certification of critical software systems, and the aerospace industry.

Alexandros Tantos is an Associate Professor of Text and Computational Linguistics at the Department of Philology, Aristotle University of Thessaloniki (AUTH). He completed his postgraduate studies in Natural Language Processing at the University of Manchester Institute of Science and Technology (UMIST) in 2003. From 2004 to 2008, Alexandros contributed as a research associate to the SFB 471 project, Variation and Development in the Lexicon, while completing his PhD at the University of Konstanz, Germany. Upon returning to Greece in 2008, he taught Computational Linguistics at the Universities of Crete, Aegean, Thrace, and AUTH. In 2010, he was appointed as a Lecturer in Text Linguistics at AUTH. Since then, he has led multiple research initiatives, including the development of two significant linguistic resources for Greek: ESKEIMATH and C58. Between 2020 and 2023, he served as the scientific director for the project Latent Aspects in L2 Acquisition, funded by the Hellenic Foundation for Research and Innovation (H.F.R.I.). Currently, his research centers on computational semantics and pragmatics, the application of Large Language Models for first and second language learning and teaching, as well as corpus linguistics, with a strong focus on the development, maintenance, and utilization of linguistic resources.

Website
Codeberg
Mastodon

Hi! I'm a PhD student at University Hospital Jena, Germany, conducting research on computational structural biology. Let's chat about point cloud registration, Bayesian statistics, algorithm engineering, science communication, or running!

Andreas Noack is the Vice President of Product Development at PumasAI. His expertise includes nonlinear mixed-effects modeling, numerical linear algebra, and parallel computing, with contributions to several open source Julia packages and the proprietary Pumas application for pharmacometrics. He has a background in econometrics and computer science with a PhD in economics from the University of Copenhagen and three years of experience as a postdoctoral associate at MIT's Computer Science and Artificial Intelligence Laboratory.

Andreas Varga received the diploma in control engineering in 1974 and the Ph.D. degree in electrical engineering in 1981, both from the University "Politechnica" of Bucharest (Romania). From 1974 to 1993 he have held various research positions at the Institute of Informatics Bucharest and at the Ruhr-University of Bochum. From 1990 to 1992 he worked at the Ruhr-University of Bochum as visiting research fellow in the framework of a fellowship award of the Alexander von Humboldt Foundation. From 1993 until his retirement in 2015 he worked at the German Aerospace Center (DLR) in Oberpfaffenhofen, where he was a Senior Scientist of the Institute of System Dyanmics and Control. Andreas Varga has been a visiting fellow at the Kyoto University (1994), California Institute of Technology (2000), Australian National University (2000), University of Hong Kong (2000), and University of Umea (2002, 2008).

The main research interests of Dr. Varga include the numerical methods for linear systems analysis and design (with special emphasis on model and controller reduction, descriptor systems, periodic systems, fault detection), and robust numerical software for computer aided control system design (CACSD). He authored two books, coauthored three books, coedited two books, published over 65 papers in refereed journals or book chapters, and have over 155 conference publications. During his active career (1974-2015) he was involved in several CACSD related software projects, being the developer of over 20 software packages implemented in Fortran and MATLAB. After his retirement he focussed on implementing free software in the Julia language, being the main author of 7 Julia packages.

Andreas Varga became in 2003 a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) "for contributions to the development of numerical methods for computer aided analysis and design of control systems". He served as Associate Editor for the IEEE Transactions on Automatic Control between 1997-1999 and served as Program Chairman or General Chair of several IEEE sponsored conferences (e.g., CACSD, CCA, ISIC, SYSTOL).

Private homepage

Annalena Stroh is a PhD student in the Metamorphic Processes group (Geosciences) at JGU Mainz. Her research focuses on evaluating timescales in crystal growth and diffusion processes using numerical models.

Product engineer for Dyad, the new modeling and simulation language from JuliaHub. Also heavily involved in geospatial (via JuliaGeo and GeometryOps.jl) and Makie.jl, as well as the Documenter.jl ecosystem.

Anthony Micciche is a PhD student at the University of Massachusetts Amherst. He studies topics related to quantum computation, quantum error correction and fault tolerance, and quantum circuit compilation.

I completed my computer science degree at a master's level in 2024 and am now a PhD student at the Helmholtz-Zentrum Dresden-Rossendorf in the same field, with a focus on physics applications. My work is part of the ongoing democratizing models project.

Composer, programmer, and performer with a degree in Electroacoustic Music. PhD candidate in Science and Technology, studying the acoustics of wind instrument multiphonics and sound synthesis based on Dynamical Systems.
- https://github.com/antonioortegabrook/RealTimeAudioDiffEq.jl

I am a PhD student at the TU Berlin in mathematics.
I am also a maintainer of Oscar.jl

Arno Strouwen is a statistician specializing in optimal experimental design for dynamical systems. He holds a PhD from KU Leuven and teaches experimental design there. He works at PumasAI on noncompartmental analysis and in vitro-in vivo correlation, and previously worked at JuliaHub on quantitative systems pharmacology and consulting for SciML applications. His industry experience includes designing experiments for vaccines and pharmaceuticals at Johnson & Johnson.

I am a Humboldt postdoctoral researcher under Professor Hendrik Ranocha in the Numerical Mathematics group at Johannes Gutenberg University, Mainz.

I work with the Julia packages Tenkai.jl and TrixiLW.jl.

Ash is a PhD candidate in physics at the University of Vienna. She works in the Maurer group studying computational materials physics and ultra-fast dynamics at surfaces.

Software Engineer in Dyad AI team at JuliaHub.

Avik started using Julia on they day it was originally released, and hasn't stopped since. He's an author and contributor for many Julia packages, and works for JuliaHub, Inc. during the day.

Software Engineer - Simulation, Control and Optimization at JuliaHub

Studies in Mathematics and Computer Science, University of Bonn, Germany
Dissertation, Institute for Numerical Simulation, University of Bonn, Germany
Research Assistant, Institute of Propulsion Technology, German Aerospace Center (DLR)
Postdoctoral Researcher, Division of Mathematics, University of Cologne, Germany

Doctor in theoretical physics, working mostly in simulation and data analysis with experimentalists blowing up tiny things in large facilities.

Worked on IntervalArithmetic.jl for my master thesis and stuck around.

Made the questionable life choice of writing a LaTeX engine in julia.

First julia version used: v0.4

Bernhard Ahrens leads the “Modeling Interactions in Soil Systems” group at the Max Planck Institute for Biogeochemistry in Jena and works in the Biogeochemical Integration Department under Prof. Dr. Markus Reichstein. He is a geoecologist and global change ecologist working at the interface of process-based soil organic matter modeling, data integration, and machine learning. Methodologically, he codevelops the software package EasyHybrid.jl to embed neural networks into process-based models. He (co-)developed the soil organic matter turnover models COMISSION v1.0 and v2.0 as well as the Jena Soil Model. He supervises several PhD and postdoctoral projects, including within the AI4SoilHealth and WETSCAPES2.0 consortia.

Professor of Geodynamics and Geophysics at the Johannes Gutenberg University Mainz (Germany). Interested in using computational models to understand geoscientific processes such as the formation of fault zones, mountain belts, magmatic processes, volcanic eruptions as well as using computational models to estimate the long-term stability of geological reservoirs.

I am a postdoctoral researcher at the Potsdam Institute for Climate Impact Research in Potsdam, Germany. My primary research interests are in applications of differentiable and probabilistic programming, uncertainty quantification, and scientific machine learning to geophysical modeling of Earth systems.

In my PhD, I worked on probabilistic inverse modeling of subsurface heat transfer in terrestrial permafrost. Prior to that, I worked on the application generative deep learning to statistical downscaling of climate and weather variables from coarse scale model outputs.

My industry background consists primarily of software engineering, both front-end and back-end development, with a wide range of frameworks and languages.

I am a PhD student from EPFL, Switzerland, working in the Mathematics for Materials Modelling group. With Prof. Michael Herbst we work on numerical simulations to solve the electronic structure problem in solid materials. Talk to me about: algorithmic differentiation, density-functional theory, numerical analysis, quantum chemistry!

Assistant Professor in the Department of Electrical and Computer Engineering at Miami University

Lead developer of AlgorithmAnalysis.jl, a Julia package for the automated analysis of algorithms

Julius is currently pursuing his PhD at the Otto-von-Guericke University Magdeburg.

As a mechanical engineer with a keen interest in system identification and control, he is researching how to transform data and data-driven black-box models in readable equations.

Carlos Castillo-Passi began his academic journey at Pontificia Universidad Catolica de Chile (PUC), where he earned both a degree and an MSc in Electrical Engineering in 2018. He then pursued a PhD in Biological and Medical Engineering through a joint program between PUC and King’s College London (KCL), completing it with maximum distinction in 2024. His research focused on the design of low-field cardiac MRI sequences using open-source MRI simulations. In 2023, his work on open-source MRI simulations was highlighted by the editor of Magnetic Resonance in Medicine (MRM). Furthermore, his application of this work to low-field cardiac MRI earned him the Early Career Award in Basic Science from the Society for Cardiovascular Magnetic Resonance (SCMR) in 2024. In addition to his research, Carlos is an active member of JuliaHealth, contributing to the development of high-performance, reproducible tools for health and medicine. In 2025, he joined Stanford University as a postdoctoral researcher, where he continues his work in cardiac MRI and open-source technologies.

At the moment, I am pursuing a Master's degree in chemistry with a focus on computational and theoretical chemistry at the Humboldt-Universität zu Berlin (HU). Research is my passion: I enjoy developing low-scaling, high-level wavefunction-based methods such as Local or SVD Coupled Cluster for molecules and periodic systems. In this context, I have been actively doing research since 3.5 years at HU and am currently working as a student research assistant at the Max-Planck Institute for Solid State Research.

Dr. Chris Rackauckas is the VP of Modeling and Simulation at JuliaHub, the Director of Scientific Research at Pumas-AI, Co-PI of the Julia Lab at MIT, and the lead developer of the SciML Open Source Software Organization. For his work in mechanistic machine learning, his work is credited for the 15,000x acceleration of NASA Launch Services simulations and recently demonstrated a 60x-570x acceleration over Modelica tools in HVAC simulation, earning Chris the US Air Force Artificial Intelligence Accelerator Scientific Excellence Award. See more at https://chrisrackauckas.com/. He is the lead developer of the Pumas project and has received a top presentation award at every ACoP in the last 3 years for improving methods for uncertainty quantification, automated GPU acceleration of nonlinear mixed effects modeling (NLME), and machine learning assisted construction of NLME models with DeepNLME. For these achievements, Chris received the Emerging Scientist award from ISoP.

I am a Computational Geoscientist at the University of Lausanne developing scalable high-performance solvers for geodynamic modelling. My previous work explored the dynamics of interacting subduction zones and associated plate motion in the Mediterranean, while contributing to the development of computational tools for geodynamic applications using automatic differentiation and Julia.

I have been contributing to the Julia ecosystem since 2022. I help maintain Metal.jl, as well contribute to the rest of the JuliaGPU ecosystem and related repositories.

I am a PhD student at TU Dresden. After studying physics, I began a PhD in the Boysen-TU Dresden-Research Training Group and the Chair of Software Technology at TU Dresden in 2023. My research focuses on extending Equation-based Modeling (EBM) languages to improve simulations of cyber-physical systems.

Christian Plessl is professor (W3) for High-Performance Computing at the department of Computer Science at Paderborn University. He is also managing director of the Paderborn Center for Parallel Computing, which is a central scientific institute of Paderborn University and a National High-Performance Computing center in the NHR alliance. He is a member of the board of directors of the NHR association.

Dr. Plessl earned a PhD degree (Dr. sc. ETH) in Computer Engineering from ETH Zurich in 2006, and a MSc degree in Electrical Engineering in 2001, also from ETH Zurich. He has been a principal investigator in numerous national and transnational research projects funded by the German Research Foundation (DFG), the German Ministry of Education and Research (BMBF), the State of North Rhine-Westfalia, and the European Commission. His research has also received support from industry, for example, by grants from AMD/Xilinx, Intel/Altera, Fujitsu, and others.

Dr. Plessl has authored and co-authored more than 100 peer-reviewed publications and his research has been honored with several awards, e.g., the significant paper award 2015 of FPL conference, the best paper awards at HEART 2023, ReConFig 2014 and 2012, the Paderborn University Research Award 2018 and 2009, and the SEW-EURODRIVE Studienpreis award in 2001. He is a senior member of the IEEE, member of the ACM, Gesellschaft für Infromatik (GI), and the HiPEAC Network of Excellence. He is a regular reviewer for scientific journals and serves on the program committee of major international conferences. His research interests include architecture and tools for high-performance parallel and reconfigurable computing, scientific computing, and adaptive computing systems.

Hello everyone!

My name is Christian Sustay and I am currently a PhD student at the Technical University of Munich in the group for Theoretical Biophysics - Molecular Dynamics.

Interests

At the moment I am mostley interested in
- Enhanced sampling techniques
- DNA interactions and deformation
- Statistical mechanics for biomolecules

Programming Languages

For the most part, I carry out my work using Python and Julia.

Contact Info

If you are interested in anything of what I do, please feel free to contact me at christian.sustay@tum.de.

Claire is a long time enthusiastic user of Julia and enjoys contributing to various
packages across the open source ecosystem, Julia standard libraries and
compiler. She love hearing about people's fascinating technical computing
adventures of all types! Find her at https://github.com/c42f

A compiler engineer at JuliaHub.

Collin Wittenstein is an incoming PhD student at MIT's Julia Lab. He is completing dual master's degrees in Physics and Computational Sciences, supervised by Hendrik Ranocha, at Johannes Gutenberg University Mainz, Germany, where he previously earned bachelor's degrees in Physics and Mathematics. His research focuses on high-performance numerical methods for PDEs, with applications ranging from dispersive water waves to geothermal energy systems. He is an active contributor to the general Julia open-source ecosystem, and is the author of GeothermalWells.jl and a co-author of DispersiveShallowWater.jl.
Website: cwittens.github.io

Cris Moen is CEO and President of RunToSolve LLC, a technology company supporting structural system analysis and design automation in the steel construction industry.

I am a PhD student at Virginia Tech working on robustness of data-driven system identification methods and their application to solving nonlinear eigenvalue problems using contour integral methods.

Scientist at the Max Planck Institute for Solid State Research in the Department for Electronic Structure Theory. Main research area: method development to accurately describe electron correlation in molecules and periodic systems.

I'm a postdoctoral researcher at the Max Planck Institute for Biogeochemistry in Jena, Germany. Originally coming from a bioinformatics background, I now work on software and data formats making geospatial data like satellite imagery less distorted.

Saxophonist, composer. Researcher. Interested in acoustic and physical modeling of musical wind instruments. Member of the Laboratory of Acoustics and Sound Perception (UNQ), researcher in the project Sonoridades Híbridas.

I've been programming for a living and for fun for more than 10 years now. I have a master in Operations Research, with a focus on heuristics and mathematical optimization. And I play the keyboard at my local church Esperança in Belo Horizonte, Brazil.

PhD in mechanical engineering, quiet life in north-east Italy, mountains and great coffee factories nearby. I don't get to use Julia at work, but use it in my free time a lot for building a new solver with friends from around the world. It's a fresh take on numerical methods for PDEs that I find really exciting and I'd love to talk more about.

Researcher in Computational Cardiology at the chair of continuum mechanics of Professor Dr.-Ing. Daniel Balzani at the Ruhr University Bochum.

Leading developer of Thunderbolt.jl and developer of Ferrite.jl. More detailed information on my contributions to the open source ecosystem can be found at my GitHub profile.

Dmitrij Rožděstvenský

Senior software engineer and PhD scientist with a strong mathematical foundation and expertise in software development, machine learning and data science. Brings a unique blend of academic rigor and hands-on industry experience, with a proven track record of leading technical teams, architecting complex systems, and translating cutting-edge research into practical applications.

Dr. Paul is an Assistant Professor of Biotechnology and a Biomedical Data Scientist specializing in the integration of computational biology with experimental research. He holds a PhD in Computational Biology from VIT University, Vellore, with a research focus on breast cancer and aromatase inhibitors. With a unique academic foundation spanning Medical Laboratory Technology (CMC Vellore) and Biotechnology, his work bridges the gap between clinical context and molecular analysis. Dr. Paul is a strong advocate for the Julia programming language in scientific application development, having developed jSeqTB, a machine-learning integrated GUI application for Next-Generation Sequencing (NGS) data analysis of Mycobacterium tuberculosis. His lab focuses on developing high-performance tools like juProt and exploring TNGS-based diagnostics, aiming to address complex biomedical challenges through data science.

Dr. Elisabeth Roesch is a Quantitative Systems Pharmacology at Sanofi. She earned her PhD in Theoretical Systems Biology from the University of Melbourne, Australia. She has researched and published about the use of the Julia programming language in Systems Biology.

Compiler engineer at JuliaHub

I am an assistant professor in statistics at ENSAI (Rennes), working on machine learning and high-dimensional statistics. My current fields of research include crowdsourcing, change-point detection, bandit theory, dimension reduction, and clustering. My PhD focused on change-point detection and ranking problems.
I am also interested in high-performance computing with Julia. I develop Luma.jl, a package for portable GPU primitives like matrix-vector operations, prefix sum, mapreduce and copy that aim to match vendor-optimized performance, and KernelIntrinsics.jl, which provides currently missing low-level intrinsics.

PhD Student in the Numerical Simulation Group at University of Cologne, Germany.

Etienne Ott works as researcher and software developer at siz energieplus. With 10 years of experience as software developer and a focus on software for mathematical modelling, simulation and technical monitoring in the field of energy systems and the built environment, he is involved in projects developing the tools for complex analyses of district energy systems and the performance of buildings.

I'm a teacher-scholar currently based in Dublin, Ireland, where I work at University College Dublin as an Ad Astra Fellow & Assistant Professor of Digital Chemistry. I am also an Adjunct Professor of Chemical Engineering at Carnegie Mellon University. Though my training is in materials science and my professional affiliations are in chemistry and chemical engineering, my research interests are broad, including not only areas of the chemical sciences (e.g., sustainable chemistry, catalysis, electrochemistry, chemical reaction networks) but also network science, data science, pedagogy, philosophy (philosophy of science and ethics), mathematics (combinatorics), and more.

I founded and am currently working to build up the Community of Researchers Assessing Chemical Transformations and Exploring Reactivity (CoReACTER), an anti-oppressive, democratic research collective. I am an active supporter of open-source software, both through my own development efforts and in my work as a Topic Editor for the Journal of Open Source Software. I care deeply about teaching the next generation of scientists and researchers, and I actively seek out opportunities to mentor others, particularly those from marginalized backgrounds.

Outside of my academic work, I love reading, writing, drinking tea, and hiking.

I am Evangelos Paradas from Thessaloniki, Greece. I am physicist, holding a PhD in Particle Physics. The trip into the algorithms' world, started during my PhD, as I was responsible for a few algorithms of the High Level trigger of the CMS experiment at CERN.
In this context, the algorithms were written in C++. After a few years I moved to the Netherlands, working at ASML as Algorithm Deployment architect.

During my previous studies, I theoretically investigated and optimized quantum optical and measurement systems using tools from quantum information theory. Since 2025, I have been a PhD student in physics at Charles University in Prague, where my theoretical research focuses on fast and reliable quantum state tomography. My work emphasizes developing and implementing improved methods that enable efficient tomography even for high‑dimensional systems.

I'm a staff scientist in the theoretical chemistry group at Leipzig University. My research is focusing on modeling chemical reactions within the (area-selective) atomic layer deposition.

Consultant at MIT's JuliaLab, Co-maintainer of Dagger. My interests span from more broad topics such as the accessibility and educational initiatives for parallel computing to Applied Physics and Numerical Linear Algebra.

Pharmacometrician at Sanofi working in the preclinical PK/PD modeling team supporting research projects via the information gain through mathematical modeling and human dose predictions.

Feroz Ahmed Mian is a computer science Ph.D. student advised by Prof. Stefan Krastanov. His research focuses on the mathematical foundations of fault-tolerant quantum computation, particularly the construction of new quantum error-correcting (QECCs) codes.

I am research scientist pursuing my PhD at the Technical University of Munich and the Max-Planck for Nuclear Physics working for the LEGEND Experiment. My research focuses on the search for the Neutrinoless double-beta decay in $^{76}\mathrm{Ge}$ using semiconductor detectors. I am an active developer and maintainer of several open source julia packages for Digital Signal Processing, Statistical inference and HPC in julia and an active member of the JuliaHEP community.

Control-systems enthusiast at JuliaHub

Compiler engineer at JuliaHub and open source enthusiast.

I’m a PhD student with Professor Carlos Améndola at the research group of Algebraic and Geometric Methods in Data Analysis at Technische Universität Berlin. I am part of the DFG Collaborative Research Center Rough Analysis, Stochastic Dynamics and Related Fields CRC/TRR 388 as a research assistant for project B01: Statistical Learning from Path Observations.
My academic interests lie in the field of statistics, particularly in areas such as Algebraic Statistics and Topological Data Analysis, focusing on the application of algebra and geometry to statistical problems. I am especially interested in tackling problems that involve integrating multiple branches of mathematics. Additionally, I have strong interests in Spatial Statistics, Time Series, and Computational Statistics.

Previously, I obtained my Bachelor's degree in Mathematical Engineering and my Master's degree in Mathematics from Universidad Técnica Federico Santa María.

3rd year+ PhD student at IRISA (Institute for Research in Computer Science and Random Systems) interested in compilers, MLIR and FPGA.

I am an applied physicist with a broad interest in nonlinear dynamics and complex systems and their application to understand the physical world at a conceptual level. My scientific interests focused in understanding the interaction of clouds, climate variability, and climate multistability, as well as developing new methodologies for nonlinear dynamics and nonlinear timeseries analysis. I am the lead dev for JuliaDynamics.

DPhil Research Student at the University of Oxford. Interested in all things hybrid climate modelling.

Researcher at École des Ponts (France) in the transportation department. Interested in operations research, graph algorithms, automatic differentiation and high-performance computing.
Website: https://gdalle.github.io/

I am a researcher at Potsdam Institute of Climate Impact Research. My work focuses on developing an open source software for simulating dynamics of large power grids, for that I develop and maintain the two packages PowerDynamics.jl and NetworkDynamics.jl. Within the community you can find me as @hexaeder on slack, discourse and GitHub.

I am a Senior Software Engineer with 10 years of experience at JuliaHub. Over the past decade, I have transitioned from developing core Julia-based desktop products (JuliaPro, Pumas) to my current role on the Operations team, I specialize in developing, deploying, and maintaining robust Julia-based software solutions. My background includes collaborating with the Pumas team to streamline the build processes for the Pumas and DeepPumas JuliaHub apps.

Currently, I am a member of the operations team, where I manage deployments and upgrades for our enterprise clients. Alongside overseeing the broader platform release process (With respect to compliance), I actively develop and maintain the RStudio and WindowsWorkstation apps. I also work closely with the compliance team to ensure the JuliaHub platform meets the strict regulatory standards required by our pharmaceutical enterprise customers.

I am an Associate Professor at the Biomedical Engineering Department at Stony Brook University. I also have affiliate positions at the Martinos Center for Biomedical Imaging at MGH/Harvard Medical School and at JuliaLab at MIT/CSAIL. I am currently leading the development of Neuroblox.jl, a Julia package to design, simulate, and analyze dynamic models of the brain. Our effort is built on top of ModelingToolkit.jl, but we are also developing our own, and sometimes more efficient, algorithms to build graphs of dynamical motives (we just released GraphDynamics.jl

Rusche, Henrik
Computational Fluid Dynamics of Dispersed Two-phase Flows at High Phase Fractions.
PhD thesis, Imperial College London, 2002. A foundational work on multiphase flow modeling that underpins much of his later OpenFOAM development contributions.

Shanmugasundaram, R. k., Rusche, Henrik, Windt, C., Kirca, Ö., Sumer, B. M., & Goseberg, N.
Towards the Numerical Modelling of Residual Seabed Liquefaction Using OpenFOAM.
OpenFOAM® Journal, Vol. 2:16, 2022. Develops a finite-volume OpenFOAM solver for seabed liquefaction analysis.

Ranjith Khumar Shanmugasundaram, Henrik Rusche, Christian Windt, V. S. Özgür Kirca, B. Mutlu Sumer, & Nils Goseberg.
Numerical Modeling of Wave-Induced Seabed Liquefaction: A Drift-Flux Model for Liquefied Soil.
Journal of Waterway, Port, Coastal and Ocean Engineering, Vol. 151, No. 6, 2025. Advanced numerical model for seabed soil liquefaction simulation.

Rusche, Henrik, Jasak, H., Popovac, M.
Implementation and Numerical Stabilisation of Adjoint Flow and Turbulence Model in OpenFOAM.
Proceedings of the European Conference on Computational Fluid Dynamics (ECFD VI), 2014. A notable contribution to turbulence modeling and adjoint flow methods in OpenFOAM.

Rusche, Henrik
Recent Developments in OpenFOAM.
Proceedings of the III International Conference “Cloud computing. Education. Research. Development.”, Moscow, 2013. A summary of key advancements in the OpenFOAM framework to that date.

I am a PhD student in the Maurer group, primarily focused on developing methods to simulate light-driven surface chemistry. This is a multi-faceted simulation with dependency on accurately capturing a multitude of properties. These include the light-matter simulations themselves, the resulting non-adiabatic dynamics, as well as the electronic structure of the adsorbate and surface in both the ground and excited states. I have a passion for fast, flexible and modern code which is why I love the Julia language and hope to generate a multitude of packages to simulate surface chemistry in Julia. For some examples, see NQCDynamics.jl and LightMatter.jl.

A software developer and an open source contributor.

Github: https://github.com/Hetarth02

Hiroharu Sugawara is an associate professor in the Graduate School of Systems Design at Tokyo Metropolitan University, Tokyo, Japan. He received his Ph.D. in electronic engineering from the University of Tokyo in 1994.
His research focuses on eco-friendly semiconductor functional materials.
He has been a Julia user since Julia 0.5.
He has been teaching a programming exercise course using the Julia language for university freshmen in the Department of Mechanical Systems Engineering every year since the 2018 academic year.

He translated Tanmay Bakshi's "Tanmay Teaches Julia for Beginners" into Japanese (ISBN 978-4807920211) in 2022.

I am a Postdoctoral Researcher at the Center for Computational Sciences (CCS), University of Tsukuba, Japan. My research focuses on Lattice Field Theory, aiming to understand the strong force, one of the fundamental interactions in nature. To achieve such research goals, I develop numerical tools that leverage HPC across diverse architectures, including both CPUs and GPUs. Recently, I have also been interested in applying Machine Learning to accelerate lattice calculations.

PhD student at the German Aerospace Center (Institute of Technical Physics)

I am a third-year PhD student in the LHCb Collaboration and Ruhr-University Bochum. My research focuses on the angular analysis of systems consisting of two vector mesons. This includes the study of all-charmed tetraquark candidates in the double-J/ψ spectrum, the analysis of central exclusive production of φ-meson pairs with potential glueball candidates, and investigations of charmonium states produced in b-hadron decays via their decays into φ-meson pairs. I am doing the whole analysis based on the Julia language, converting the produced tools into packages within the JuliaHEP environment.

I am a senior scientist at the Alfred Wegener Institute for Polar and Marine Research in Potsdam and in Bremerhaven, Germany. I have obtained my PhD in 2003 at the University of Bremen, Germany, and have been working at the Alfred Wegener Institute in the area of atmospheric science with a focus on the stratosphere since then. Since 2009, I am the developer, maintainer and scientist behind the ATLAS chemistry and transport model, and I am focussing my research on the model.

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Computer Science and Engineering graduate, working on static analysis tooling for Julia.

Ivan Borisov is a mathematician and a software developer at InSysBio CY. His work focuses on the development and enhancement of mathematical and computational methods in Systems Biology and Quantitative Systems Pharmacology.

I'm an applied mathematician working in the field of computational glaciology. My interests include GPU computing, supercomputing, computational fluid dynamics, numerical analysis, to name a few.

Worked with Julia for a long time. Involved in many "fundamental" packages across the ecosystem, web or data related.

Software Engineer and Modeling and Simulation Consultant at JuliaHub.

I am a research software engineer from Copenhagen, Denmark.
I currently work for the Danish health authorities, writing software for pathogen surveillance. I am trained as a molecular biologist, and have previously been working as an academic researching bioinformatics.
I program in Python, Rust and Julia, and am an active developer in the BioJulia ecosystem. I write Julia packages for efficient I/O and parsing, and foundational bioinformatics functionality such as BioSequences and Kmers.jl.

I'm a postdoctoral researcher at the University of Exeter interested in dynamical models with biological applications. I use analytical and numerical techniques applied to systems away from equilbrium, and am interested in methods to fit experimental data to nonlinear differential equation models.

For my PhD I studied the internal nonlinear mechanics of eukaryotic cilia and flagella. The big open question is how individual molecular motor proteins act collectively to generate propagating waves that enable microorganisms to swim or pump fluid. Now I am interested in how seemingly 'intelligent' behaviour of single-celled organisms can be controlled through e.g. bioelectricity or genetic networks and how to model such situations mathematically and computationally.

Data scientist at the European XFEL. Likes sleeping.

https://www.slf.ch/en/staff/magnusso/

Jan Philipp Thiele is a Research Software Engineer in the digital science support lab of TU Braunschweig.

I study the stability of ice sheets in the past, present and future, focusing on their interaction with the solid Earth and the sea level. To this end, I use and develop numerical models of ice-sheet evolution and glacial isostatic adjustment.

I am a full-stack Julia developer with a Ph.D. in physics from TU Delft, and I enjoy simplifying complex concepts and making the impossible possible. I have thorough experience in Julia, HTTP, QML, cryptographic protocols, and system architectures. Find more about me on janiserdmanis.org.

Postdoctoral researcher at the Institute for Risk and Reliability at the Leibniz University Hannover, Germany.

Professor of applied math at Université Côte d’Azur, CNRS, Inria, LJAD

Scientific interests - Optimisation and control: geometry, algorithms, applications

https://caillau.perso.math.cnrs.fr

09/2012 - B.Sc. Molecular Biology, Johannes Gutenberg University Mainz
03/2015 - M.Sc. Applied Bioinformatics, Johannes Gutenberg University Mainz

03/2016 - present Research associate in computer science Johannes Gutenberg University Mainz

04/2015 - present PhD candidate in computer science Johannes Gutenberg University Mainz

I am interested in structural bioinformatics and development of software for applications in this and related fields.

Profile stuff will follow :-)

I am a second-year undergraduate student at the Indian Institute of Management Ranchi, with a strong inclination towards Operations Research, logistics, and supply chain management, focusing on optimization modelling and applied mathematical computational methods.

I am currently Senior Lead – Modeling and Simulation at JuliaHub. With over 25 years of modeling and simulation experience, I enjoy working with customers to develop software solutions to solve complex multi-domain system simulation problems. Prior to joining JuliaHub, I worked at Ford Motor Company, several engineering consulting companies, and most recently Modelon.

• PhD student at the Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
• Works in mixed precision for matrix equations with low-rank solution
• @jonas-schulze on GitHub

Born in Mexico City. Studied a Bachelors in Chemical Engineering at UNAM. M.Sc. on Materials Science and Engineering at MIT. Studied PhD at TU Eindhoven on Applied Physics.
Worked for Philips Research 1 year.
Working at ASML for 13 years on algorithms.

Joris is the technical team lead for the Dyad Studio product team. He has been shipping products built on top of Julia, such as Dyad Studio and JuliaSim, to users for close to 5 years and deploying Julia powered web applications for over a decade.

Dr. Joshua Ballanco has built operating systems with Apple, local news sites
with AOL, and served as the Chief Scientist for a world-wide distributed team of
programming and design consultants. He even managed to complete his Ph.D. in
Computational Evolutionary Dynamics along the way. He currently works remotely
from his home in Greenville, SC where he lives with his beautiful wife and two kids.

José Quenum is a Researcher at the Namibia University of Science and Technology (NUST). His interests include Distributed Systems, Artificial Intelligence and Big Data.

Julia Gender Inclusive is an organization that promotes discussions and spaces for equity and inclusion in the community.

Julian is a Research Software Engineer at MIT's JuliaLab, where he focuses on improving Julia's support for HPC and GPU computing. Julian has previously authored and maintained the AMDGPU.jl package (for programming AMD's GPUs from Julia), and now focuses his efforts on maintaining and developing the Dagger.jl package, to improve the state of productive parallel programming.

Research scientist @ University of Augsburg, chair of mechatronics
Github:
- JulianTrommer
- Chair of Mechatronics

Senior Product Engineer at Pumas AI
Co-author and co-maintainer of Makie.jl, maintainer of AlgebraOfGraphics.jl.
Creator of various packages such as Chain.jl or SummaryTables.jl.

Jürgen Fuhrmann, PhD, is deputy head of the Numerical Mathematics and Scientific Computing group at Weierstrass Institute for Applied Analysis and Stochastics, Berlin. His research topics include finite volume methods, numerical simulation in electrochemistry, semiconductors and other fields, and software design and development for partial differential equations. Since 2018, Julia is his main programming language. He regularly teaches Julia based courses on Advanced Topics from Scientific Computing at TU Berlin.

PhD Candidate, University of Siegen, Germany

Specializing in solid mechanics, with a focus on dynamic fracture, peridynamics, phase-field modeling, and continuum mechanics.

I am a Julia contributor since 2015. I work mostly on GPUs, quantum packages, and linear algebra.

I am an assistant professor at Tufts Medical Center with nearly 11 years in computational biology and bioinformatics, much of that time spent coding in Julia. I study the relationship between the gut microbiome and human development. I am a co-maintainer of the BioJulia organization and maintain or contribute to packages in the Biology, Data, Ecology, and Statistics ecosystems, and have worked on educational material for Pumas.ai and JuliaHub.

I am a postdoc at Clemson University.
My research interest is in computational algebraic geometry.

Kosuri Lakshmi Indu is a final-year undergraduate student in Computer Science (AI & ML) and an open-source contributor in the JuliaHealth ecosystem. As a Google Summer of Code 2025 contributor with The Julia Language (JuliaHealth), she worked on supporting patient-level data pipelines by contributing to HealthBase.jl and developing OMOPCDMFeasibility.jl. She has also led ecosystem-level improvements in JuliaHealth through a NumFOCUS Small Development Grant, focusing on reproducible ecosystem audits, documentation standardization, and CI infrastructure to improve onboarding and long-term sustainability. She is particularly interested in open-source development, exploring emerging technologies and continuously learning across diverse domains.

Software engineer at JuliaHub working on the language, releases and tooling.

I am a scientific software engineer specializing in the development of multiscale and multiphysics models for cardiovascular medicine. My work focuses on creating computational tools to facilitate fundamental medical research and improving clinical outcomes.

PhD-student in Algebra at RWTH Aachen University, Germany.
Research in algebraic Lie theory and representation theory, with some contact points to symmetric tensor categories.

Core developer of the OSCAR computer algebra system.

Also a contributor to various other julia packages, which promise to make his life easier.

I am Lars Kastner, a mathematician and programmer from TU Berlin.

Lars Mikelsons holds a diploma in Mathematics and a Ph.D. in Mechatronics. He began his professional career at Bosch Corporate Research before transitioning to academia. Currently, he is the Head of the Chair for Mechatronics at the University of Augsburg. His research focuses on Scientific Machine Learning and Mechatronic Systems Engineering, contributing to the advancement of intelligent, data-driven approaches in engineering applications.

A scientist at the Max Planck Institute for Biogeochemistry, advancing earth system models through hybrid modeling, integrating process-based models with machine learning. Through open, reproducible research and compelling visualizations, I bridge the gap between cutting-edge research and societal impact.

Leopold Mareis is a doctoral student in the field of applied mathematical statistics at the Technical University of Munich. He previously worked at the Fraunhofer Institute for Cognitive Systems IKS in the 'Reasoned AI Decisions' group. His research interest lies in the efficient estimation and uncertainty quantification of structural parameters in graphical modeling.

Leticia Madureira is a PhD Candidate in Computational Quantum Chemistry at Carnegie Mellon University.

I am a postdoctoral researcher (SPDR) at RIKEN in Japan. My research focuses on quantum physics, especially few-body physics, but I like to discuss about anything.

Computational geoscientists with Earth science background. Julia GPU and HPC enthusiast.

Software Research Fellow at the Flatiron Institute, CCQ, studying tensor network methods and algorithms for classical and quantum physics simulations.

Research engineer in combinatorial optimization and machine learning. Member of JuliaDecisionFocusedLearning.

Maarten Pronk is a researcher at Deltares and an external PhD candidate at the Delft University of Technology. He holds a MSc in Geomatics and a BSc in Architecture, both from the Delft University of Technology (NL). His research concerns elevation modelling, especially in lowlands prone to coastal flooding. Currently, he works on applying data from ICESat-2, a LiDAR satellite, to global elevation models.

I am a Lecturer in the School of Computer Science at the University of Leeds. Before this I was a Research Associate with the Numerical Linear Algebra Group at the University of Manchester, working with Professor Nicholas J. Higham. I received a B.Sc. (Hons.) degree in Computer Science in 2016 and a PhD degree in Computer Science in 2020, both from the University of Manchester. My research interests include: computer arithmetic, numerical linear algebra, high-performance computing, mathematical software, performance optimization and benchmarking.

Website: https://mmikaitis.github.io

Manuel develops statistical methods and software in Julia, R, and Python focusing on nonlinear mixed-effects models, longitudinal data, and federated learning. He began using Julia in 2023 and now builds research software leveraging its composability and automatic differentiation ecosystem. He is the author of Coconots.jl and NoLimits.jl. Manuel is a PhD student in Mathematics in the group of Jan Hasenauer at the University of Bonn.

Manuel Seefelder is a postdoctoral researcher in the Department of Gene Therapy at Ulm University Hospital, Germany. His background is in molecular medicine, with a doctorate on the huntingtin-associated protein 40 and its role in Huntington's disease. His current work sits at the intersection of wet-lab research, proteomics and computational method development: he builds Bayesian and deep-learning pipelines for analyzing protein interactome data from mass spectrometry experiments. Julia is his primary research language, and BayesInteractomics.jl grew directly out of the need to rigorously quantify interaction evidence in his own experiments. He also developed ProteinCoLoc, a Bayesian tool for colocalization analysis in fluorescence microscopy (Scientific Reports, 2024), and teaches a workshop on applied Bayesian statistics for PhD students at Ulm University.

I am a PhD student at the Johannes Gutenberg University Mainz working at the Institute of Mathematics, under the supervision of Professor Hendrik Ranocha. I am mainly interested in high-order methods, entropy stable/conservative schemes and applications towards atmospheric flows. My contributions to Julia are mostly in Trixi.jl, TrixiAtmo.jl and Ariadne.jl.

Hi, my name is Marco Perrotta. I'm a master student in computer science at the University of Ferrara, where I also work as a collaborator at the Applied Computational Logic and Artificial Intelligence Lab. My main interest is how technology can be used to understand and study language.

Marcus Huntemann is a researcher at the University of Bremen in the Institute of Environmental Physics. He works with Julia since since 2015 in various applications mainly involving geophysical modeling, image processing and Geophysical retrievals from satellite observations.

Marija Boberg is a doctoral candidate associated with the University Medical Center Hamburg-Eppendorf and the Hamburg University of Technology (Germany). Her academic background is in mathematics, and her research is focused on magnetic fields and image reconstruction in magnetic particle imaging.

PhD student

Software Engineer, Scientific Computing Software at the Howard Hughes Medical Institute Janelia Research Campus

I am a PhD student at TU Braunschweig, Germany, specializing in nonlinear optimization and scientific computing in Julia. My research combines functional analysis and large-scale optimization, with a focus on continuous models of complex networks and dynamical systems. I am interested in developing mathematical tools that are also computationally practical.

PhD student at the University of Copenhagen working on tensor networks

Martin Scheidt recently joined Darmstadt University of Applied Sciences as a professor. He studied transport engineering at TU Dresden and TU Braunschweig, where he subsequently obtained his doctorate at the Institute for Railway Engineering and Transport Safety. His research focuses on railway operations planning, in particular timetable design and railway infrastructure modelling.

I'm a long time Julia user and passionate programmer. My background is in physics, but I'm currently working with Neuroblox.jl to develop computational neuroscience software in Julia. I like tinkering with interesting problems, and helping people learn to use Julia.

Matt has been a part of the Julia community for over a decade and is the Director of Sales Engineering at JuliaHub.

I am a second year Chemistry PhD student and the University of Warwick, researching light driven molecular dynamics of molecule-metal surface systems.

I am a mathematical biologist from the University of Bristol, UK. I have previously worked on efficient parameterisation of cardiac ion channel models, uncertainty quantification and models of blood coagulation. I currently work as a Postdoctoral Research Associate in Computation Biology within a synthetic biology group.

PhD student at the Center for Lifespan Psychology, Max-Planck-Institute for Human Development, Berlin

Researching differentiable programming and machine learning for Earth system models and dynamical systems

I am a researcher working on the interdisciplinary edge of mathematics, quantum simulations, materials science and physics, leading the Mathematics for Materials modelling research group at EPFL. Together with my group we explore how mathematical understanding of algorithms and errors can help to make materials simulations faster and more reliable. For this purpose we develop the Density-Functional ToolKit, a Julia-based code for density-functional theory (DFT), and contribute to the JuliaMolSim ecosystem to advance the state of Julia-based materials modelling.

I am currently the Senior Directory of Product Management for JuliaSim at JuliaHub. I have built my whole career on my passion for modeling, simulation and software and before coming to work for JuliaHub I had the privilege of working on engineering software at companies like Ford, LMS, Dassault Systèmes and Ricardo.

Milan Klöwer is a NERC Independent Research Fellow at the University of Oxford. He did his postdoc at the Massachusetts Institute of Technology (MIT) working on climate model development in Julia. He started SpeedyWeather.jl, a global atmospheric model designed as a research playground to develop prototype ideas on machine-learned representations of climate processes and computationally efficient climate models. He also works on low precision computing, data compression and information theory, predictability of weather and climate, and software engineering.

Morten is a physicist & software engineer based in Tallinn, Estonia. He's one of the maintainers Documenter.jl and the JuliaDocs package ecosystem, and works as a software engineer at JuliaHub.

GitHub: @mortenpi

Research Software Developer at UCL during the day, binary builder during the night.

Mridul Ranjan Upadhyay serves as a Technical Program Manager at JuliaHub, orchestrating strategic initiatives and technological innovation at the intersection of research and industry. A forward-thinking leader and multiple patent holder, he specializes in transforming complex, high-level concepts into scalable products. Mridul is passionate about professionalizing development lifecycles and driving the evolution of emerging technologies within high-growth organizations.

PhD student in biophysics, University of Maryland College Park

I am a PhD student at the University of Colorado Boulder. My research interests include statistics, optimization, and scientific computing. I have been working in Julia since 2018 when I learned the language while working for Numerica Corporation. I have a deep appreciation for code and mathematics, and I am very excited to have the opportunity to go to JuliaCon this year.

Independent computational physicist working on optical propagation, inverse design, and differentiable programming. Former postdoc at University of Innsbruck, FAU Erlangen, and University of Rennes. Developer of FluxOptics.jl

I am a PhD student at IIT Bombay. My research interests are fluid dynamics, numerical methods and complex systems. My PhD work involves studying interfacial waves. I have been one of the major (maybe not that major ! ) contributors to Catalyst.jl. I have also contributed in small proportions to MethodOfLines.jl , DataDrivenDiffEq.jl and Symbolics.jl (very small contributions).

I'm a PhD student at the Institute for Biomedical Imaging at Hamburg University of Technology (TUHH), Germany. My research focuses on parallel computing for medical imaging, particularly magnetic particle imaging. Since 2025, I have also worked as a software engineer at the Fraunhofer Research Institution for Individualised Medical Technology and Engineering (IMTE), Germany.

Master’s student in Physics at ETH Zurich, currently completing my Master’s thesis in the climate modeling group at AOPP, University of Oxford. Im researching differentiable programming and systematic parameter calibration for Earth system models, with interests in exoplanet climates, high-performance computing, and scientific software engineering.

I work as an engineer with model-based energy planning. In my sparetime I enjoy researching, developing and programming in Julia.

Hello! I am Nishanth. I work at JuliaHub where I develop Cloud based solutions for hosted Julia applications.

Just a Kenyan interested in the pursuit of knowledge and it's application towards enriching human experiences.

Associate professor, applied mathematics
Université de Toulouse, INP-ENSEEIHT & IRIT, CNRS, France

CV Hal
control-toolbox

I've used Julia to make an in-orbit satellite go from spinning too fast to spinning less fast

I work for JuliaHub at making ODEs go fast.

I am currently an associate professor in statistics in Marseille (France). Actuary by formation, I focus my researches on high dimensional statistics and dependence structures estimations, with a lot of applications in insurance, reinsurance, and more recently public health. I do have a taste for numerical code and open-source software, and most of my work is freely available on GitHub.

Proudly developing Dyad with JuliaHub and improving the julia ecosystem in the meantime, removing one sleep(1) at a time. Pluto maintainer. Past lives include software engineer, a business analyst, a consultant, a data entry intern, a waiter and a sailor.

Pankaj K Mishra is a Senior Scientist (Geophysics) at Geological Survey of Finland.
For more info visit: https://pankajkmishra.github.io/

Pascal Aellig is a PhD student in computational geosciences at the Johannes Gutenberg University Mainz. He co-develops JustRelax.jl and other packages in the framework of geodynamics with the focus on the evolution of magmatic systems of various scales.

Background in physics and complex systems, transitioned to scientific software engineering at the Institute for Snow and Avalanches.

I'm a postdoc researcher at the Weierstrass Institute in Berlin in the scientific computing group.
My day-to-day work is all about running finite element simulations for solid mechanics and quantum devices.
I came into touch with Julia three years ago and I love it since.
At WIAS, we have our own Julia PDE solver ecosystem WIAS-PDELib, where I am a core maintainer.
I'm interested in low-level solver routines, software architecture, coding quality, and experiments with new data types and programming features.

I am a chemical physics PhD student in Garegin Papoian's lab at the University of Maryland, College Park.

Paul Jansen (1967) graduated from the University of Amsterdam in computing science and philosophy (both cum laude). At Philips Research he was a computer scientist in the field of compiler construction and domain-specific languages. After a brief stay at Atos Origin and QA Systems, he founded TIOBE Software in 2000. Paul Jansen is the driving force behind the definition of the TIOBE Quality Indicator (TQI) and the famous TIOBE index that is published every month.

she/her

Ex-quantum chemist turned software engineer, I'm now a core developer of Turing.jl. Speak to me about ... Jane Austen, my Pokemon collection, classical music, functional programming, or waterfowl!

• PhD student at the Faculty of Physics of the University of Bucharest.
• Research assistant at the Center of Advanced Laser Technologies (CETAL) of the National Institute for Laser Plasma and Radiation (Romania).

PhD student in the group of Tobias Knopp for Biomedical Imaging at the University Medical Center Hamburg-Eppendorf and the Hamburg University of Technology.

Philipp Adämmer works at the Institute of Data Science at the University of Greifswald, where his current research focuses on applied econometrics, machine learning, and nonlinear statistics. He earned his doctorate in economics from the University of Münster in 2016.

Phillip is a neuroscientist and contributor to the MixedModels.jl ecosystem.

I am a master student in machine learning and industrial control systems at Zhejiang University. My research interest focuses on the intersection of machine learning and dynamical systems. I participated in GSoC 2023 with SciML under the NUMFOCUS umbrella.

Ritesh is a PhD researcher working at the intersection of hydrology and machine learning, developing physically informed machine learning (PIML) frameworks that integrate process-based hydrological models with deep learning to improve streamflow prediction in complex and regulated catchments. Using large-sample datasets such as CAMELS-GB, he incorporates hydrological signatures and process-based insights to enhance both predictive accuracy and model interpretability. His work focuses on bridging physics-based understanding with modern AI to build robust, scalable, and transparent tools for water resource management.

Rabab Alomairy is a postdoc in the Julia Lab located in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). Rabab's research is centered around task-based numerical libraries and applications, performance optimizations for multicore/manycore architectures and hardware accelerators, dynamic runtime systems, GPU programming, and machine learning and artificial intelligence.

I am heading a department at the Leibniz Institute of Photonic Technology, where our research focuses on imaging cellular function at high resolution. We develop new light microscopy techniques to measure multidimensional information in small biological objects such as cells, cellular organelles or other small structures of interest.

Computer-based reconstruction methods, in particular in Julia, are a core focus and support many of our developments.

Rajeev holds a Ph.D. in Aerospace Engineering with expertise in dynamical systems, controls, and numerical optimization. At JuliaHub, he works on advanced modeling and simulation workflows using Dyad, ModelingToolkit and the broader Julia ecosystem, focusing on large-scale dynamical systems and optimal control.

Rasmus Henningsson’s research interests are centered around high-dimensional biological data in general and Leukemia in particular. He is currently developing new methods for dimension reduction, analysis and visualization of single cell expression data. He got his PhD degree in applied mathematics at Lund University in 2018, working on dimension reduction, viral evolution and Leukemia.

Unga Bunga

I am a PhD candidate at TU Delft, where I focus on program synthesis and applying it to scientific discovery. Currently, I am focusing on methods for synthesizing dynamical systems, with applications in biology. Alongside my own research, I work on Herb.jl, a program synthesis framework developed here at TU Delft (see: https://herb-ai.github.io/).

Since 2013, Ronan Arraes Jardim Chagas has been with the Space Systems Division of the Brazilian National Institute for Space Research (INPE). As his most significant accomplishment, he was the Mission Architect and the responsible technician of the attitude and orbit control subsystem (AOCS) of the Brazilian Satellite Amazonia 1, successfully launched in February 2021.

He has been working with Control Systems and Signal Processing for 17 years. During this time, he was involved in many projects related to those areas. He successfully embedded Kalman filters (Extended and Unscented) in many autonomous systems and developed state-of-art signal processing algorithms to perform estimation in distributed sensor networks.

He conducts several research projects at INPE. Those projects include artificial intelligence and advanced control techniques applied to the AOCS, space mission design optimization, advanced signal processing, and orbit analysis.

He is also a Julia language enthusiast. He has used it daily since 2013 to perform many activities related to his work. As his most significant project with this language, he developed a complete AOCS simulator to test and verify this subsystem. The simulation achieved outstanding performance and accuracy, given the orbital data collected from the satellite Amazonia 1.

He is the creator and maintainer of some important packages of the Julia language ecosystem: ReferenceFrameRotations.jl, SatelliteToolbox.jl, SatelliteAnalysis.jl, PrettyTables.jl, and others.

Compiler engineer at JuliaHub, Inc.

Computational Scientist and Responsible for Julia computing, at the Swiss National Supercomputing Centre (CSCS), ETH Zurich

I'm a PhD candidate at the University of Texas at Austin. My research lives in the realm of computational oceanography where I broadly work on utilizing differentiable ocean models for training subgrid-scale parameterizations.

I'm a PhD student in the Accelerator Modelling Group at the Paul Scherrer Institute. My work focuses on Bayesian statistics and data assimilation, leveraging Julia and the Turing.jl, in the context of particle accelerator experiments.

Software Eng. at JuliaHub & PhD student at University of Bucharest.

Sebastian is a software engineer at JuliaHub focusing on tooling around Julia, including the JuliaHub platform and the Julia extension for VS Code, as well as various other contributions to the Julia ecosystem.

I'm a postdoctoral researcher at Laboratory of Engineering Thermodynamics (LTD) of the University of Kaiserslautern (RPTU), Germany. My work focuses on hybrid thermodynamic models that combine physical knowledge with machine learning.

See here for more.

I am a Ph.D. candidate at Yokohama City University and a junior research associate (JRA) at RIKEN in Japan. I launched JuliaFewBody for developing FewBody.jl, general-purpose flexible solvers for quantum mechanical few-body problems. At JuliaCon 2025, I presented several of his packages towards completing FewBody.jl.

I am the organizer of several events related to Julia and computational physics:
- Julia in Physics 2024,
- JuliaLang Japan 2025,
- Spring School on Computational Physics,
- Computational Physics Hackathon 2026 (CompPhysHack2026).

Master's student at KIT (Germany)

Interested in computational mathematics, programming language design, automatic differentiation and compilers.

GitHub: https://github.com/simeonschaub

Research Software Engineer in the Computational Biology department at Leibniz University Hannover.

PhD in Physics.

The Carpentries instructor.

Julia enthusiast.

Simon Danisch is the creator of Makie.jl, Bonito.jl, GPUArrays.jl, and BonitoBook.jl. With a background in cognitive science and computer vision, he has spent the last decade building out Julia's visualization, interactive UI, and GPU computing ecosystem.

Mathematician and software engineer who has been coding in Julia for over ten years. I currently work on underwater acoustic communication systems and have been working in numerical linear algebra and electronic structure calculations in the past.

Remote sensing scientist at the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). He works in the field of scatterometry, maintaining the scientific software used to process data from the current ASCAT instrument. He is also involved in the development of calibration and validation software for Europe’s next scatterometer, SCA, scheduled for launch in 2026. In addition to his scientific work, Simon actively promotes open-source development within EUMETSAT and is the author of MetopDataset.jl, EUMETSAT’s first Julia package.

Julia co-creator and JuliaHub/Dyad co-founder: https://juliahub.com

Steffen Fürst, having studied mathematics with a focus on economics and social science, has spent the past 15 years working on various agent-based models. In the most recent 5 years, his focus has been particularly on high-performance computing environments.

Ms. Sekaran is a PhD Scholar in the Department of Biotechnology. Her research is focused on the discovery and validation of novel therapeutic agents for breast cancer. She is currently working on the identification and evaluation of potential inhibitors for the 17-beta-hydroxysteroid dehydrogenase (17β-HSD) enzyme, a critical target in cancer treatment. Her work integrates both computational (in silico) and experimental (in vitro) methods, combining computational screening and inhibitor design with laboratory-based assays for validation. She is particularly interested in applying modern programming languages and high-performance computing to accelerate the drug discovery pipeline.

Professeur agrégé PRAG (Higher Education) of applied physics at Université de Poitiers

Soeren Schoenbrod received his M.Sc. in electrical engineering from RWTH Aachen University in 2015. His research interests include multi antenna GNSS receivers, attitude and calibration estimation, robust interference and spoofing detection and mitigation.

Bayesian researcher and Julia developer for quite some time now. I am part of the Julia Gaussian Process team and developed all kind of serious tools for statistical analysis and more stupid stuff like WatchJuliaBurn.jl or DeepFry.jl

I am a PhD student for Computer Science within the PONY lab with Sebastijan Dumancic and Neil Yorke-Smith, researching in the field of program synthesis, neuro-symbolic proving and reasoning, and their application to bioinformatics.

Check out my website for more information.

Tim Besard is a software engineer at JuliaHub, where he leads GPU support and development for the Julia programming language. He holds a Ph.D. in computer science engineering from Ghent University, Belgium, and has been a key contributor to Julia's GPU ecosystem since 2014. Tim maintains several foundational GPU packages including CUDA.jl, GPUArrays.jl, GPUCompiler.jl, and LLVM.jl, which together form the backbone of GPU computing in Julia.

Tim Weiland is a PhD student in the Methods of Machine Learning group at the University of Tübingen, where he works on scalable probabilistic PDE solvers.
His research combines Bayesian inference, sparse linear algebra, and physics-informed priors to make uncertainty quantification practical for large-scale scientific computing problems.

I am a theoretical physicist.

I am passionate about diversity in science and quantum mechanics.

I am a particle physicist by training, currently working on the theoretical side of strong laser interactions and matter under extreme conditions at the Helmholtz-Zentrum Dresden-Rossendorf. For the past five years, I have conducted all my research in Julia, and I am the primary author of several Julia packages, including the QuantumElectrodynamics.jl framework, JuliaXRTS, and a maintainer at the JuliaHEP GitHub organization. In addition, for the past three years, I have served as one of the conveners of the JuliaHEP working group within the HEP Software Foundation, making me an active member of the Julia community in high-energy physics.

Research scientist and PhD student @ University of Augsburg, chair of mechatronics
GitHub

He builds Dyad Agent at JuliaHub. He is leveraging generative AI and scientific AI to radically change how modeling and simulation is done.

He loves to code, paint, write and trek. He likes Julia ecosystem and contributes to it.

Vicki Carrica is a Computer Science and Engineering undergraduate at the Massachusetts Institute of Technology (MIT) graduating in 2027. As a researcher in the MIT Julia Lab, she contributes to the development of high-performance linear algebra routines, focusing on GPU acceleration and algorithmic efficiency.

PhD in Computer Vision and Math (CTU in Prague, 2020 - 2026)

PhD mathematics student at the University of Augsburg

I work at University of Stuttgart and do visualizations for neuroscience.

Vrishank Sai Anand is a Grade 10 student at GEMS Modern Academy in the UAE, originally from India. He was recognized as an Azeem Scholar and has received academic distinctions as a subject topper in Digital Design, Physics, Mathematics, and History. His academic interests lie at the intersection of Scientific Machine Learning (SciML), artificial intelligence, and quantitative finance, where he explores how mathematical modeling and algorithms can be used to understand complex economic systems.

He programs primarily in Julia and Python, with hands-on experience in SciML frameworks, neural differential equations, and research-oriented model development. Alongside his technical work, he has experience in UI/UX design, Flask-based web development, and deployment of computational projects, reflecting his interest in building both theoretical and practical systems.

Vrishank care's strongly about collaboration, communication, and impact. Through his podcast, Beyond Tomorrow - Navigating Fontiers, his school Futures Club, and his literacy initiatives in India, he has seen how powerful it can be to share knowledge and bring people together around ideas. Vrishank has authored an essay in the Journal of Future Studies on the “Digital Divide,” examining how book access and reading initiatives can reduce educational inequities. He has also won awards in the NGFP Young Voices Challenge in 2024 and 2025 for projects related to SDG 16 and SDG 4.

Beyond academics, Vrishank is a goalkeeper for Elite Sports in the UAE and has represented his school at the UAE IB Nationals. As a captain, he values discipline, leadership, and resilience, qualities he carries into his academic pursuits. He also enjoys playing video games, which complement his interest in systems thinking and decision-making.

Weijia Wang is a PhD student in the PolSys team of LIP6, Sorbonne Université, and in the Sierra team at Inria Paris. His research centers on designing computer algebra-based algorithms to automate the convergence analysis of first-order optimization algorithms.

William (Billy) Moses is an Assistant Professor at the University of Illinois in the Computer Science and Electrical and Computer Engineering departments. He received a Ph.D. in Computer Science from MIT, where he also received his M.Eng in electrical engineering and computer science (EECS) and B.S. in EECS and physics. William's research involves creating compilers and program representations that enable performance and use-case portability, thus enabling non-experts to leverage the latest in high-performance computing and ML. He is known as the lead developer of Enzyme, a tool for LLVM/MLIR capable of differentiating code in a variety of languages; Polygeist, a polyhedral compiler and C++ frontend for MLIR; and Reactant, a tool for enabling existing scientific code to run on distributed ML accelerators. He has also worked on the Tensor Comprehensions framework for synthesizing high-performance GPU kernels of ML code, the Tapir compiler for parallel programs, and compilers that use machine learning to better optimize. He is a recipient of the 2026 SIAM Supercomputing Early Career Prize, the 2024 SIGHPC Doctoral Dissertation Award, a DOE Computational Science Graduate Fellowship and the Karl Taylor Compton Prize, MIT's highest student award.

Dr. Xin Wu is a Scientific Advisor for Theoretical Physics/Chemistry at the Paderborn Center for Parallel Computing (PC2), Paderborn University. His doctoral research focused on GPU-accelerated quantum chemistry for high-performance computing. At PC2, he is responsible for HPC training, user support and consultation, as well as code optimization and parallelization, with particular emphasis on FPGA‑accelerated kernels for quantum chemistry calculation.

Yan Guimarães is a Software Engineering student at the University of Brasília (UnB) researching high-performance computing and distributed task scheduling in the Julia Language. He focuses on developing an MPI-based backend for Dagger.jl, a runtime system that uses DAG-based scheduling to handle distributed workloads automatically. He integrates MPI into Dagger's scheduler with one line of code, which enables MPI-aware task placement while hiding communication complexity. He evaluates performance on the Aurora exascale supercomputer and AWS, using parallel Cholesky decomposition benchmarks, showing competitive results on HPC interconnects. This research, developed through Google Summer of Code 2025.

Yousof is a scientific software developer at Qruise GmbH.

2010: Doctor of Science from The University of Tokyo
2010-2024: Senior Scientist , CCSE, Japan Atomic Energy Agency (JAEA)
2016-2017: Visiting Scholar, Department of Physics, Massachusetts Institute of Technology, USA
2018-2023: Visiting researcher in RIKEN AIP
2024: Associate Professor in the information technology center, The University of Tokyo

Software Architect in ASML working on Julia algorithms in the near real time system.
GitHub

Radiochemist, spectroscopist, and data scientist (kinda). Now a PhD student studying chemical reaction networks and machine learning on directed hypergraphs.

I'm Zach, Lead Software Engineer on the SHERPA project at NASA ARC. I've been doing rover strategic simulations and mission planning for the VIPER project for a few years now. I dabble in indie game development, I released my game Vector Prospector on Steam in 2020. I've been programming since I was eight, and I live in Newport Beach, California.

I develop some Julia packages on GitHub.

See https://github.com/AtelierArith

I also use Julia in the industry domain.