Thomas Müller
Independent Researcher at Self-employed
Switzerland
Summary
🤩
Rockstar🎓
Top SchoolThomas Müller is a Principal Research Scientist at NVIDIA with 12 years of experience at the intersection of machine learning and computer graphics, whose research has been integrated into movie production, game engines, and 3D reconstruction pipelines. He holds a doctorate from ETH Zürich and has won best-paper awards and been featured in TIME's best inventions for consecutive years, reflecting practical, high-impact research. Thomas is an active open-source maintainer—contributing to notable projects like tiny-cuda-nn and the osu! ecosystem—and builds fast C++/CUDA tooling and GUI/graphics utilities used by practitioners. He has consulted for Walt Disney Animation and directly integrated research into production renderers, demonstrating a rare ability to move ideas from paper to studio-grade software. Outside of work he blends physics, music, and electronics into his projects, often contributing usability-focused improvements that make advanced research accessible to developers.
12 years of coding experience
14 years of employment as a software developer
Doctor of Science ETH (Dr. sc.) Informatik, Doctor of Science ETH (Dr. sc.) Informatik at ETH Zürich
Github Skills (39)
bitmap10
rythm10
c-language10
python10
image-processing10
machine-learning10
ui-design10
file-dialog10
c1710
uid10
front-end-development10
dotnet-core10
oso10
cuda10
bitmaps10
Programming languages (13)
Github contributions (5)
Tom94/tev
Aug 2017 - Jan 2023
High dynamic range (HDR) image viewer for people who care about colors
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:39 releases, 11 reviews, 927 commits in 5 years 5 months
Contributions summary:Thomas primarily worked on improving the tev image viewer application, contributing to the user interface by adding buttons and controls for manipulating the image, including the ability to toggle between LDR mode, copy and paste functionality and for managing layer and channel viewing. They also implemented functionality to improve the quality and control over display, in addition to resolving bugs in image loading and display to ensure smooth rendering and usability.
hdrimage-viewerexrmacosavif
NVlabs/tiny-cuda-nn
Apr 2021 - Jan 2023
Lightning fast C++/CUDA neural network framework
Role in this project:ML Engineer
ML EngineerContributions:6 releases, 13 reviews, 390 commits in 1 year 9 months
Contributions summary:Thomas made several changes to the benchmarking code, making it more usable and out-of-the-box compatible. They added functionality to save and load images for training, and improved the help message of the image learning script. The contributions focused on improving the image learning example for the tiny-cuda-nn framework.
cppcudaneural-networkdeep-learninggpu
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