JuliaCon 2025

Astrophysicist – Postdoctoral Fellow at Harvard University.

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.

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.

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.

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.

Ph.D. Student @ MIT

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.

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 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.

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.

Research Scientist, AWS Center for Quantum Computing

GSoC'23

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

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.

Julia Innovator

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.

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.

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.

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!

I am a DevOps Engineer with 7+ 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 am a Julia contributor since 2015. I work mostly on GPUs, quantum packages, and linear algebra.

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.

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.

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

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

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

PhD student in biophysics, University of Maryland College Park

Julia fan

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.

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).

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.

Julia co-creator and JuliaHub co-founder.

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 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