About Me
Hi, I’m Barney — welcome to my corner of the internet!
I spend most of my time doing something best characterized as computer graphics research. I am broadly interested in how we can represent, simulate, and render the world in ways that are both principled and expressive.
Much of my work lives at the intersection of physics-based simulation, rendering, geometry, and machine learning, with a recurring focus on controllability, interpretability, and human-in-the-loop systems.
I’m especially drawn to problems where physical insight and learning complement each other: differentiable simulations, reduced-order models, and scene representations that let people interact with complex systems intuitively. At heart, I’m motivated by building tools that support storytelling, creativity, and exploration. In other words, I often ask the question: how can we come up with the most useful models (the right stories and abstractions), for varying notions of usefulness?
I currently get to explore these ideas in practice at Adobe, translating research into tools for artists through work on creative drawing systems.
I completed my M.S. in Computer Science at Georgia Tech , where I was fortunate to be advised by Prof. Bo Zhu and Prof. Greg Turk . Before that, I received my B.S. from TU Budapest , where I was lucky to work with Prof. László Szécsi in the Computer Graphics Group .
I am happy to share with you tidbits from my life and things I find interesting. You can check out my…
- blog posts
- projects
- public code repositories: GitLab / GitSch / GitHub
- Instagram for the occasional sketch, doodle, or relic from my juggling-and-flipping era.
Professional Background
I feel incredibly fortunate to have worked on truly exciting problems with people I deeply admire, across academia and industry, and across several countries and cultures. Throughout these experiences, I’ve tried to stay close to what first pulled me into this field: merging art and technology into tools and systems that support artistic expression, meaningful interaction, and storytelling.
For more details, feel free to check out my Projects page.
Advisor: Prof. Bo Zhu, co-advised by Prof. Greg Turk
Thesis title: Differentiable 3D Scene Representations with Point-based Neural Methods
During my Master’s studies at Georgia Tech , I had a wonderful time delving into multiple topics in computer graphics, from physics-based deep learning to differentiable rendering, with my thesis research focusing on geometry representations.
- & February, 2020 – December, 2020
Advisor: Prof. László Szécsi
BSc Thesis: Controlling Laplacian Eigenfluids
I graduated with a Bachelor’s degree in Computer Science Engineering from the Budapest University of Technology and Economics (TU Budapest) in January 2023, conducting my research with the Computer Graphics Group .
Partly inspired by an eventful exchange year at TUM, my undergraduate thesis focused on reduced-order fluid simulations and using differentiable physics to teach neural networks to control physical systems.
After graduation, I was a Graduate Teaching Assistant for the 6th semester BSc course “3D Graphics”. (As an undergraduate, I had also been a TA for the “Programming 1” and “System Modelling” courses.)
Mentor: Holger Dammertz
While studying at TUM, I also had a wonderful time doing a 6-month internship with the Rendering R&D team at Dassault Systèmes 3DEXCITE , where I built a web-based 3D material editor from the ground up to enhance in-house artist workflows.
Outside academia, I enjoy long-distance running, music, board games, baking bread, cooking, and spending time with friends.

