JuliaCon 2025

I am a research associate the Robotics Institute at Carnegie Mellon University. I work on quantum optimal control. My free time is spent climbing, running, cycling, reading, and exploring Pittsburgh.

Researcher at JAEA

Akio Tomiya is a Full-Time Lecturer in the Department of Mathematical Sciences, Major in Information Mathematics, Faculty of Contemporary Liberal Arts at Tokyo Woman’s Christian University. Born in Takarazuka, Hyogo Prefecture in 1987, he received a BSc from the University of Hyogo in 2010, followed by an MSc (2012) and PhD (2015) in Physics from Osaka University. He has served as a Postdoctoral Researcher at Central China Normal University, and an SPDR Postdoctoral Researcher at the RIKEN BNL Research Center. From 2021 to 2024, he was a Tenured Assistant Professor at Osaka International Professional University of Technology in Osaka. His research focuses on lattice gauge theory, machine learning, and quantum computing. He is a recipient of the 29th Physical Society of Japan Paper Award (2024) and the 14th Particle Physics Medal Award for young researcher (2019). Further details are available on his website:
https://www2.yukawa.kyoto-u.ac.jp/~akio.tomiya/aboutme.html.

I completed my Ph.D. in Physics at the University of Messina, Italy, and I am currently a Postdoctoral Researcher at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. My research focuses on Quantum Optics, Quantum Optomechanics, Open Quantum Systems, and Light-Matter Interaction in the Ultrastrong Coupling regime.

Developing efficient numerical simulations is essential for my work, particularly when studying highly entangled systems and strongly driven open quantum systems. This need for high-performance simulations led me to create QuantumToolbox.jl, a Julia package designed to combine user-friendly syntax with cutting-edge computational efficiency, enabling fast and scalable quantum system simulations.

My broader research goals include applying these computational advancements to explore novel quantum phenomena and contribute to the development of next-generation quantum technologies.

Dr. Alessandro Fascetti received his bachelor and master degrees in Civil Engineering from the Sapienza University of Rome. He obtained his Ph.D. from the same institution in 2016. He then joined the Multiscale Computational Mechanics Laboratory (MCML) in the Civil and Environmental Engineering Department of Vanderbilt University as a Postdoctoral Research Fellow. After 2 years as a Lecturer for the School of Engineering at The University of Waikato, he joined the Department of Civil and Environmental Engineering at the University of Pittsburgh in 2021. Dr. Fascetti conducts research on digital twin modeling of horizontal and vertical infrastructure for large-scale resilience assessment and maintenance optimization. His work focuses on failure mechanics as well as durability aspects, combining multiscale numerical simulations with in-situ and remote sensing techniques for the real-time assessment of complex interconnected infrastructure systems. He has been a contributor of the Julia ecosystem for almost a decade.

Astrophysicist – Postdoctoral Fellow at Harvard University.

Alexander Demin is an undergraduate student in math and CS at HSE University.

Dr. Von Moll is a researcher with the Control Science Center, Aerospace Systems Directorate, Air Force Research Laboratory. He holds a B.S. in Aerospace Engineering from Ohio State (2012), an M.S. in Aerospace Engineering from Georgia Institute of Technology (2016), and a Ph.D. in Electrical Engineering from University of Cincinnati (2022). Alex was a Department of Defense SMART Scholar, awarded in 2011 and again in 2014. His research interests include multi-agent systems, cooperative control, and differential games.

Anant is a software engineer at JuliaHub, where he works on the JuliaSim suite of products and contributes to open-source Julia ecosystems; primarily SciML, where he is also the maintainer of CI processes and systems.

Andrei-Leonard Nicușan is a final-year doctoral researcher in the University of Birmingham’s School of Chemical Engineering and CTO of EvoPhase Ltd., an AI in industry spinout. He published featured articles and Scientific Highlights on machine learning-based algorithms, metaprogramming-driven evolutionary optimisation, simulational-experimental calibration and positron imaging, based on which he won the 2024 IChemE Young Engineers Award for Innovation and Sustainability; his open-source frameworks are actively being used in academia and industry, with work in partnership with GlaxoSmithKline winning the 2023 “Best Use of HPC in Industry” award from HPCWire.

Andrew Claster has been providing marketing and communications services for JuliaHub since 2015, and has been conducting the annual JuliaHub User & Developer Survey since 2019. Andrew Claster has more than 25 years experience in survey research, polling, data and analytics. Andrew previously served as Deputy Chief Analytics Officer for the Obama 2012 re-election campaign, Deputy Targeting Director of the Democratic National Committee and World Bank consultant, and has conducted political and consumer surveys in more than 20 countries.

Drew has worked at the intersection of science and code for decades, from global health forecasting to training people to use supercomputers. He has used Julia since version 0.3 and contributes packages in the areas of discrete event systems and unit testing. He currently supports test and evaluation for DARPA.

Incoming physics PhD student @ NYU.

Andrew Saydjari is a NASA Hubble Fellow in the Department of Astrophysical Sciences at Princeton. Saydjari’s research focuses on combining astrophysics, statistics, and high-performance coding to study the chemical, spatial, and kinematic variations in the dust that permeates the Milky Way. This involves developing Bayesian methods and data reduction pipelines for spectroscopic and imaging surveys containing millions and billions of stars, respectively, usually implemented in Julia.

Recent graduate of Yale University working on black hole imaging with the Event Horizon Telescope.

I'm a computer science enthusiast with a love for AI and machine learning. Currently, I'm working through a B.Tech in AI & ML at Netaji Subhash Engineering College in Kolkata and a BS in Data Science & Applications at IIT Madras. These studies have given me a solid grounding in math, data analytics, and machine learning.

I've had some opportunities along the way—like working on large language models to simplify language for kids with learning disabilities at Jadavpur University, and developing a machine learning solution at Doyen Diagnostics to predict disease burden and craft personalized health scores.

I've also dabbled in projects ranging from EEG-based schizophrenia classification to highway traffic flow analysis and accident detection with computer vision.

Now, I'm diving into Julia and looking forward to sharing ideas and collaborating with the Julia community at JuliaCon on all things computational and innovative.

Anna Tartaglia is a first year Astronomy Graduate student at Harvard University and NSF Graduate Research Fellow.

JuliaGeo collaborator and author of GeoMakie.jl, and contributor to DocumenterVitepress.jl!

I'm a student at the École Polytechnique Fédérale de Lausanne (EPFL). I'm currently pursuing a Master's degree in Data Science with a minor in Computational Science and Engineering. I use Julia to support research and prototype new techniques in high-performance computing and graph analysis.

Research Scientist at JuliaHub.
Interested in optimal data gathering strategies for SciML applications.

Ph.D. Student @ MIT

Benjamin Chung is a modeling & simulation consultant with JuliaHub. Previously, he was a postdoc at the University of Washington with Behcet Acikmese working on aerospace trajectory optimization after finishing his PhD with Jan Vitek on type systems for Julia.

I am a Research Assistant Professor in the Department of Physics and Astronomy at the University of Tennessee, Knoxville (UTK), and am based out of the Institute for Advanced Materials & Manufacturing (IAMM). My position at UTK was created after receiving the Scientific Software Research Faculty (SSRF) award from the Simons Foundation, and my work focuses on the development of open-source software tools for the condensed matter physics (CMP) research community. Prior to switching to my current position, I worked as a postdoctoral researcher in Professor Steve Johnston’s research group at UTK after receiving my PhD from the Department of Physics and Astronomy at the University of California, Davis.

More broadly, my research interests focus on developing and applying novel numerical methods to address CMP problems and bridge the gap between theory and experiment. I am also interested in investigating opportunities to supplement standard numerical methods in CMP with machine learning approaches to accelerate existing computations and infer additional information from the high-dimensional data sets generated in studies of quantum materials.

My recent development efforts have focused on applying quantum Monte Carlo (QMC) methods to study model Hamiltonians meant to describe various quantum materials. This includes developing well-documented and user-friendly open-source QMC software packages to make these algorithms more accessible to the broader CMP community.

MIT CS PhD student

Cameron is a data scientist with interests in physics, engineering, and mathematics, and of course well designed Julia libraries.

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.

I am a PhD mathematics student at Dartmouth college interested in mathematical physics, machine learning, and numerical methods in many-body quantum mechanics.

Cédric is an applied mathematician and a programmer, enjoying developing tools for graphics applications on his free time.

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.

Clément is leading the Technology Cluster for Digital Mechatronics at Siemens Healthineers. He is responsible for building up a team of experts in digital technologies, and trigger and lead technological projects to enhance the development of Siemens Healthineers mechatronic products. This role leverages the past experiences of Clément as a Team Lead and Model-based Development expert at Modelon and at other industry leaders such as Airbus Helicopters and Dassault Systèmes. Clément holds two MSc - in France and Spain, respectively in System Engineering and Mechanical Engineering, - and a PhD on model-based hydraulic actuation system design for helicopters. Clément is a happy husband and father of two amazing boys - who are making his life even more exiting than his work.

A compiler engineer at JuliaHub.

Daniel Sergio Vega is a PhD student at the Institute of Computing of USI. He graduated on Informatics Engineering and later earned a MSc on Financial Technology and Computing at USI. He is interested in high performance computing and computational science for finance applications.

I work at Beacon Biosignals to bring scientific insight to large scale neurophysiological datasets of EEG, identifying novel biomarkers for the treatment and stratification of neuropathology. I have a background in human auditory psychophysics and auditory cognitive neuroscience as well as machine learning and signal processing methods applied to music.

I am a Senior Software Engineer at JuliaHub working on JuliaSim AI. My interests lie in the design and use of scientific machine learning methods for modeling and simulation.

TODO.

I am currently a PhD candidate in physics at Harvard University working under Michael Johnson with the local Event Horizon Telescope (EHT) group. I currently research black hole phenomenology. Some topics and techniques I routinely use include strong field gravitational lensing, the phenomenology of exotic black hole space times, Newman-Penrose formalism and Bayesian inference.

Research Scientist. MIT's Julia Lab.

Erandi is a 3rd year Astronomy graduate student at Harvard University.

Eric Ford is a Distinguished Professor of Astronomy & Astrophysics at the Pennsylvania State University, where he is active in its Institute for Computational & Data Sciences, Center for Astrostatistics, and Center for Exoplanets & Habitable Worlds. Ford’s research focuses on detecting and characterizing planetary systems around other stars and modeling planet formation. His research group uses Julia to apply Bayesian and machine learning methods for analyzing exoplanet observations to improve the interpretation of exoplanet observations. Ford has taught a graduate-level class on High-Performance Computing for Astrophysics using Julia since 2014.

Fredrik received his MSc and Ph.D. from Dept. Automatic Control at Lund University. He has a background in robotics and an interest in developing software tools for control, identification, and simulation, and is a co author of the JuliaControl suite of software for analysis and design of control systems in the Julia programming language. He is currently leading the control-systems team at JuliaHub, developing tools for model-based design and deployment of control systems.

Software developer.

Hello, world! I’m Gabriel, a computational renewable energy researcher from Minneapolis, Minnesota. I’m currently full time at the National Renewable Energy Laboratory (NREL) near Golden, Colorado, where I work in the Grid Planning and Analysis Center developing software models to help create more climate-friendly electrical grids. I’m passionate about applying theoretical computer science for concrete societal benefit. I spend my free time hiking, camping, discussing philosophy, and exploring Wikipedia. You can see some of my projects on my personal website at https://www.gabrielks.com .

I am a senior staff scientist at CERN in the Software for Experiments Group.

My major interests are currently in the HEP Software Foudation, software R&D, in general, and specifically, supporting the ecosystem for using with Julia in high-energy physics.

Research Scientist, AWS Center for Quantum Computing

Guus Avis is a postdoctoral researcher specialized in the analysis and design of quantum networks. One of his interests is investigating how real-world imperfect quantum hardware can best enable useful network protocols, which requires a combination of device physics and protocol design.

After obtaining both a Bachelor of Science in physics and a Bachelor of Arts in philosophy at the University of Groningen, Guus went on to obtain a Masters in Science in theoretical physics from the University of Utrecht, where he specialized in cosmology. For his doctoral studies, Guus switched to the exciting field of quantum technology and joined the Delft University of Technology. There he obtained his PhD on quantum networks under the guidance of Stephanie Wehner, working as a part of both QuTech and the Quantum Internet Alliance.

After graduating, Guus has left The Netherlands to experience what it is like to live above sea level. At UMass Amherst, under the wing of Stefan Krastanov, Guus continues to contribute towards making quantum networks a reality.

Haina obtained her B.S. in chemistry and mathematics at National University of Singapore in 2018 and her PhD in theoretical chemistry at Princeton University in 2024. During her graduate studies, she worked in the group of Prof. Salvatore Torquato on extracting microscopic forces from the correlation functions of fluids and the inverse design of disordered hyperuniform systems, which are exotic states of matter that lie between typical liquids and crystals. Her experience with order metrics in chemical physics sparked her interest in disordered active systems in biology. As postdoc at Penn, she works with Profs. Andrea Liu and John Crocker on the "civil engineering" of living cells, i.e., modelling the actin cortex as a dynamic learning system. In her free time, Haina writes music reviews, plays the violin and attends Philadelphia Orchestra concerts.

Hana is a project manager at the NSF Center for Quantum Networks, where she is part of the remote testbed team developing quantum simulation tools (QuantumSavory.jl).

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

I am a 2nd year PhD student working within Prof Maurer's group. We specialize in non-adiabatic quantum chemistry with a focus on surface and light-driven chemistry. My personal interests are focussed on the light-matter interactions and how light is harvested by materials to then be converted to useful chemical energy.

A software developer and an open source contributor.

Github: https://github.com/Hetarth02

GSoC'23

I am a postdoctoral fellow at the Center for Astrophysics | Harvard & Smithsonian, working on radio interferometry calibration and data processing, with a special focus on millimetre (mm) and sub-mm wave very long baseline interferometry observations of black holes with the Event Horizon Telescope.

I am a quantitative developing computational tools to improve our understanding of and adaptation to a changing environment.

My name is Jacob Scott Zelko! I am currently pursuing my MS in Applied Mathematics at Northeastern University (NEU) and am a trainee of NEU's Roux Institute.

My research career has focused primarily and broadly on population health. In particular, chronic mental illness (i.e. depression, suicidality, and bipolar disorder), social determinants of health and health disparities within intersectional populations, chronic illness, and neurocognitive disabilities. As a convergence of my interests, I am very interested in how we can use mathematical structures (such as categories) to establish meaningful relationships between non-traditional health data sources to gain greater insights into population health. To bridge these worlds, I have been heavily involved with observational health research methods using "Real World Data" and am an active member of both the OHDSI and Category Theory communities.

Jakob is a software developer based in Portland, Oregon who loves programming in Julia, Rust, and Typst. They have registered three Julia packages, are attending JuliaCon for the third time, is an organizer with Julia Gender Inclusive, and is the administrator of the Humans of Julia Discord server. When Jakob is away-from-keyboard, they enjoy watching movies, training for triathlons, and trying new vegan foods.

https://github.com/jakobjpeters

Data scientist at the European XFEL. Likes sleeping.

Bachelors student at IIT HYDERABAD

Co-creator of the Julia language and co-founder of JuliaHub, Inc.

Julia Innovator

Jeremie is the Head of Science at Evovest. He's responsible for the development of systematic investment strategies in global equities. Over 8 years at Intact in actuarial and R&D roles, he drove the development of analytical solutions in predictive risk modeling, price optimization and telematics.
He also worked as an applied research scientist at ElementAI and as a consulting actuary at WTW.

Since I recently broke my collarbone in a bad way while trying to ski, I'm currently still laying in a hospital bed recovering from yesterdays surgery. As it is past midnight by now and I'm typing all this [the proposal] with my weaker left hand, I concider it finally time to retire ... that's pretty much me. Thanks & Good night ;-)

5th year PhD Student in Experimental High-energy Physics at Harvard University. @JuliaHEP

Jillian Lehosky is a User Engagement Specialist at Pittsburgh Supercomputing Center.

Johannes Blaschke is a HPC workflow performance expert leading the NERSC Science Acceleration Program (NESAP). His research interests include urgent and interactive HPC; and programming environments and models for cross-facility workflows.

Johannes supports Julia on NERSC's systems, including one of the first examples of integrating MPI.jl and Distributed.jl with the HPE's Slingshot network technology. Johannes is a zealous advocate for Julia as an HPC programming language, and a contributor and organizer of Julia tutorials and BoFs at SC, JuliaCon and within the DoE.

Mexican Postdoctoral Scholar at NYU

Jonathan Starr is the program manager of the Open Source Science Initiative out of NumFOCUS where he drives development of MOSS and other OSSci initiatives seeking to connect users of open source research software with their engineers and communities. Outside of NumFOCUS he contributes to several open source projects and start-ups developing technologies that enable open science practices through novel infrastructure and incentive mechanisms. He is also co-founder of The SciOS collaborative and The Institute of Open Science Practices, facilitating connections and workshops between researchers and deep-infrastructure technologists to build technology that enables open science from an empowered grassroots scientific community.

Jordan Murphy is a Senior Astrodynamics Engineer at Slingshot Aerospace and a Ph.D. candidate in Aerospace Engineering at the University of Colorado Boulder under Professor Dan Scheeres. His expertise lies at the intersection of astrodynamics, scientific machine learning, numerical computing, and optimization. With experience spanning NASA’s Jet Propulsion Laboratory, Lawrence Livermore National Laboratory, CU Aerospace, and SpaceX, Jordan has contributed to mission design, machine learning and reinforcement learning applications, and high-performance computing for space systems. A strong advocate for the Julia programming language, he integrates cutting-edge computational techniques into astrodynamics research and development. Jordan’s current work focuses on enhancing space situational awareness, data-driven simulation methodologies, and optimal control.

José G. Quenum is a Namibia University of Science and Technology (NUST) professor. His research interests include coordination models in multi-agent systems, distributed systems, artificial Intelligence and Big Data infrastructure.

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.

Julia Gender Inclusive is an organization that promotes a welcoming environment in the Julia Community for all genders, fostering diversity and equity.

RSE at MIT's JuliaLab, author of AMDGPU.jl, and maintainer of Dagger.jl. I want to improve the accessibility of HPC so that everyone can easily and productively scale their code to the max!

Senior Product Engineer at Pumas AI
Co-author and co-maintainer of Makie.jl
Creator of packages like Chain.jl, DataFrameMacros.jl and ReadableRegex.jl

I am a DevOps Engineer with 8 years of experience in IT, specializing in cloud infrastructure. My expertise includes automation, infrastructure as code, and building scalable system architectures, with a strong focus on optimizing cloud-native applications. I am keenly interested in AI/ML and enjoy working on projects integrating DevOps, AI, and large-scale simulations to drive innovation and efficiency.

I'm a core Julia and JuliaGPU developer. I do various quantum and HPC things as well.

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

Kavya is a rising junior at Boston University majoring in Mathematics and Computer Science on a full-tuition merit scholarship (Trustee Scholarship). She is an AI/ML Fellow at MIT’s Break Through Tech AI Fellowship, a researcher in the Computational Neuroscience and Vision Lab, and also serves as the Vice President of BU’s Girls Who Code chapter. Kavya is passionate about leveraging SciML to drive innovations at the intersection of medicine and technology.

Keno Fischer is one of the core developers of the Julia programming language and co-founder and CTO at JuliaHub. His earliest involvement with the Julia project was the port of Julia to Windows, the creation of (the current iteration of) the Julia REPL, the Julia optimizer, Julia’s --bug-report feature as well as numerous other language features and packages. Within the Julia community, he is known for creating packages that push the boundary of possibilities of the language and ability to debug even the thorniest of issues. He holds an A.M. degree in Physics from Harvard University.

Kiran has contributed to Julia in a number of ways for over 10 years. He is currently a Principal Software Engineer at RelationalAI.

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

Software Engineer at JuliaHub, Cluster Team

I've been involved with Julia since 2018. Currently working on the core JuliaHub platform mostly around backend and cluster related capabilities. I graduated from Warsaw University of Technology with a M.Sc. in Computer Science and B.Sc. in Automatic Control and Robotics.

https://github.com/krynju

Leticia Madureira is a PhD student at Carnegie Mellon University working on Computational Quantum Chemistry Methods.

Artist, Scientist, Open source developer.

Luca Ferranti is a post-doc at Aalto University, Finland.

Special Postdoctoral Researcher (SPDR) at RIKEN (Japan).

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

TODO.

Lukas Weber is a postdoc as the Center for Computational Quantum Physics at the Flatiron Institute, New York. He develops quantum Monte Carlo methods, with a particular interest in strongly light-matter coupled and strongly correlated electron systems.

Postdoctoral researcher at the Environmental Flow Physics Lab at Columbia University, @mfsch on GitHub.

Marco is Assistant Professor in the CEEM Department at Columbia University and an Amazon Visiting Academic.
He received his PhD in Civil and Environmental Engineering from Braunschweig and Florence Universities (2014), and a PhD in Mechanical Engineering from École Polytechnique Fédérale de Lausanne (2016). Prior to joining Columbia, he held postdoctoral positions at the University of British Columbia and at the Center for Turbulence Research at Stanford University.

I am a Software Engineer at the Howard Hughes Medical Institute Janelia Research Campus.

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 use Julia.

Assistant professor at AGH University of Krakow. I work on numerical differential geometry and biomedical engineering.

Michael Ferguson is a principal software engineer at HPE who works on the
Chapel programing language and its compiler. He has has worked in many areas of the Chapel project; from LLVM-based code generation to I/O support.

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.

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

PhD student in biophysics, University of Maryland College Park

Julia fan

Postdoc researcher at Niels Bohr Institute, Copenhagen

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.

Olivier Gauthé is an Associate Data Scientist at the Center for Computational Quantum Physics (CCQ) of the Flatiron Institute in New York City. Before moving to CCQ, he obtained a physics PhD in France at Toulouse III University and then joined EPFL in Lausanne, Switzerland as a postdoctoral researcher. He is working on numerical methods to study strongly correlated systems in condensed matter physics, with a focus on tensor network algorithms and 2D spin systems.

SciML and Base developer at JuliaHub

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.

Param Umesh Thakkar is a Computer Engineering student at VJTI, Mumbai, specializing in Generative AI, LLMs, and automation. He has built AI-driven recommendation models, content tools, and multi-agent systems using LangChain, CrewAI, and Llama.An open-source contributor at SciML, he has worked on Julia's OrdinaryDiffEq.jl and ODE solver testing. Skilled in C++, JavaScript, and Python, he secured third place in the Deloitte Quantum Climate Challenge 2024.

BHEX Postdoctoral Fellow at Center for Astrophysics | Harvard & Smithsonian
Co-Lead of the EHTJulia ecosystem
Lead of the Comrade software

Open-source, blitz chess, roda de choro enthusiast; Computer and Information Engineer & Mathematician from UFRJ; M.Sc. Student at the Systems Engineering & Computer Science Program, UFRJ; Ph.D. student and member of the SECQUOIA research group at Purdue University. Previously, Research Intern in Public Healthcare at IFF/Fiocruz; Researcher & Developer at PSR Energy Inc. Research Intern in Analog Optimization at Microsoft Research.

Philip Fackler joined the Oak Ridge National Laboratory in 2019 and is a Research Software Engineer in the Computer Science and Mathematics Division (CSMD). His interests include high performance computing applications and performance portability in Julia and C++, computational mesh generation and geometry, and C++ language evolution.

Philip obtained his Ph.D. (2017) and MS (2013) in computational engineering from the University of Tennessee at Chattanooga. He obtained his BA (2008) in mathematics from Asbury University in Wilmore, Kentucky.

During his Ph.D. Philip developed a code for point placement (for spatial discretization) with two novel algorithms using a background spacing field: one for inserting and removing points locally to achieve an appropriate population, and the other using point-to-point interactions (behaving as bubbles) to "smooth" the population or ensure the points were "well-placed".

Prith Banerjee is Chief Technology Officer at ANSYS and is responsible for driving the long-term technology strategy of the company. Prior to that, he was CTO of Schneider Electric, CTO of ABB, Managing Director at Accenture, and Director of HP Labs. Previously, he spent 20 years in academia as Professor, Chairman and Dean at the University of Illinois and Northwestern University. In addition, Prith has founded two EDA software companies, Accelchip and Binachip. He has served on the Board of Directors of Cray, CUBIC, and Turntide. He is a Fellow of the AAAS, ACM and IEEE. He received a B.Tech. in electronics engineering from the Indian Institute of Technology, Kharagpur, and an M.S. and Ph.D. in electrical engineering from the University of Illinois, Urbana.

I am a master's 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.

I am a dedicated postdoctoral researcher in computational materials science and a fan of the Julia language.

I am a postdoctoral researcher at the MIT JuliaLab and an HPC enthusiast who loves solving complex problems by thinking in parallel. My research intersects High-Performance Computing (HPC) and Artificial Intelligence (AI), exploring how advanced computational techniques can optimize AI algorithms for increased efficiency and effectiveness. I was honored as one of the Rising Stars in Computational and Data Sciences by U.S. Department of Energy. My collaborations extend internationally, including with the Innovative Computing Lab at the University of Tennessee and MINES ParisTech. In Summer 2021, I was a visiting scholar at the Innovative Computing Lab, where I contributed to a milestone of the Software for Linear Algebra Targeting Exascale (SLATE) project , a joint initiative of the U.S. Department of Energy’s Office of Science and the National Nuclear Security Administration (NNSA).

Assistant Research Professor of Materials Science and Engineering at Carnegie Mellon University

I (Randy) am currently working as the Director of Analytics at Presage Group Inc. I completed my Ph.D. in Epidemiology at Queen's University in 2023. I live a "short" ferry ride away from Kingston, ON on Wolfe Island.

I received my PhD in Physics from New Zealand Institute for Advanced Study in 2022. During my PhD, I worked with Prof. Joachim Brand developing quantum Monte Carlo algorithms for ultracold Bose gases. Later, I joined the Chemistry Department at Washington University in St. Louis as a postdoc, working with Prof. Robert Wexler on nested sampling. My extensive interdisciplinary research experience spans chemistry and physics, with published works on molecular magnetism, metallic clusters and surfaces, as well as ultracold quantum gases. My research interests focus on developing efficient and accurate computational methods for solving complicated quantum and statistical mechanical problems. My main tools are (quantum and classical) Monte Carlo techniques. I am an enthusiastic Julia programmer, I use the programming language to develop several open-source computational physics packages including Rimu.jl and FreeBird.jl.

Robert Moss received his Ph.D. in computer science from Stanford University where his thesis studied algorithms for safe planning under uncertainty using surrogate models. Robert was an associate staff member at MIT Lincoln Laboratory where he was on the team that designed, developed, and validated the next-generation aircraft collision avoidance system (ACAS X) for commercial aircraft, unmanned vehicles, and rotorcraft. Robert has been a Julia user since 2013 and led the use of Julia as the specification language for ACAS X.

PhD Student at Stanford Intelligent Systems Lab.

I am somehwere between a mathematician and a computer scientist, working on Optimization on Riemannian manifolds with a focus both on open source algorithms and non smooth optimization. I develop Manopt.jl, Manifolds.jl and am a founder of the JuliaManifolds GitHub org.

I work at the Department of Mathematical Sciences at the Norwegian University of Science and Technology in the beautiful town of Trondheim, Norway.

Undergraduate at MIT majoring in Physics and Computer Science. Currently researching algorithmic selection with LLM integration as a part of the SmartSolve group in Julia Lab.

Computational Neuroscience Ph.D. Candidate at Boston University. Currently working in the DePasquale and Scott labs. Focusing on understanding astrocytes in brain computation and the development of novel state-space models.

Sam is a Julia developer who is enthusiastic about converting long-shot ideas into production-grade systems. His work spans from differentiable physics to renewable energy optimization, and he brings experience taking scientific solutions into industrial-scale and cloud-based production.

Currently, Sam is the founder of G2I Computing LLC where he offers expertise developing scientific software. Previously, he has worked as a research software engineer at Metalenz on optical design problems, and as a member of technical staff at LeafLabs producing neuroscience research tools. He holds degrees in electrical engineering from the University of Illinois and MIT.

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

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

Shivay Lamba is a software developer specializing in DevOps, Machine Learning and Full Stack Development.

He is an Open Source Enthusiast and has been part of various programs like Google Code In and Google Summer of Code as a Mentor and has also been a MLH Fellow.
He is actively involved in community work as well. He is a TensorflowJS SIG member, Mentor in OpenMined and CNCF Service Mesh Community, SODA Foundation and has given talks at various conferences like Github Satellite, Voice Global, Fossasia Tech Summit, TensorflowJS Show & Tell.

I'm a high school student with a passion for biotech, bioinformatics, and computational modeling. My research spans computational neuroscience, medical data analysis, and wearable technology, with a strong focus on improving healthcare solutions through software and statistical modeling.
Beyond research, Shiv is deeply engaged in STEM education, co-leading an intensive bootcamp to teach middle schoolers how to develop research projects. He also enjoys coding in Python, R, Julia, and Swift, applying his skills to both app development and complex data analysis.
I enjoy spending time playing badminton competitively within my region and love to hike and bike with my friends and family!

I've been working in Julia for 2 years on a variety of projects. I'm a recent graduate of Lexington High School, and am excited to present at JuliaCon!

A software engineer at JuliaHub, Inc. Working on the Julia compiler and related technologies. Creator of JET.jl.

Shuhei Ohno is a Ph.D. student (D3) at Yokohama City University and a junior research associate (JRA) at RIKEN in Japan. Shuhei developed Antique.jl for software testing in quantum mechanical calculations and for educational purposes in quantum mechanics. TwoBody.jl, a collection of solvers for two-body problems such as diatomic molecules and mesons, is tested using Antique.jl. He will graduate in March 2026 and is seeking a full-time position using JuliaLang. Further details are available on GitHub.

This speaker also appears in:

• Antique.jl: Analytical Solutions of Quantum Mechanical Equations

Julia co-creator and JuliaHub co-founder.

Stefan works on the design, control, and optimization of quantum hardware for computation and networking, from its analog physical description up to the compilation of error-corrected logical circuitry running on it. His research centers around leaky abstraction boundaries between the many layers of technologies making up the field of quantum computing and quantum information science. He is a professor at UMass Amherst.

Steven Whitaker is Senior Julia Developer at Great Lakes Consulting Services (GLCS.io) working in modeling and simulation, large data computation, and custom software, in addition to having doctoral-level experience with magnetic resonance imaging (MRI) and signal processing. Find him on LinkedIn, on GitHub, or via email (swhitaker@glcs.io).

I develop some Julia packages on GitHub.

See https://github.com/AtelierArith

I also use Julia in the industry domain.

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.

Toby Driscoll is a Unidel Chaired Professor of Mathematical Sciences at the University of Delaware. He is author of numerous publications in computational and applied mathematics, mathematical software packages in MATLAB and Julia, and five books, including the online textbook Fundamentals of Numerical Computation at fncbook.com.

He works as a modeling and simulation engineer at JuliaHub.

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

I am a researcher interested in electronic structure, quantum simulation, and computational physics.

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I am a postdoc at MIT advised by Saman Amarasinghe, and an incoming professor at Georgia Tech! I am inspired to make programming high-performance computers more productive, efficient, and accessible. My research primarily focuses on using compilers to adapt programs to the structure of data, bridging the gap between program flexibility and data structure flexibility. I’m the author of the Finch array programming language, which supports a wide variety of programming constructs on sparse, run-length-encoded, banded, or otherwise structured arrays.

willowahrens.io

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

PhD candidate in Biomedical Engineering at Boston University co-advised by Drs. Brian DePasquale and Michael Economo.