Presenter

Thomas is principal research scientist at NVIDIA working on the intersection of machine learning and light transport simulation. His research is used commercially in movie production, video games, and 3D reconstruction and won several awards at top tier venues like SIGGRAPH and in popular science communications like TIME magazine. Thomas also maintains widely used open source frameworks, such as the neural graphics tool instant-ngp, the machine learning framework tiny-cuda-nn, and the image comparison tool tev. Thomas holds a PhD from ETH Zürich & Disney Research and, in a past life, developed big parts of the online rhythm game "osu!".

List of awards: https://www.linkedin.com/in/thomas-m%C3%BCller-653a2a137/details/honors/
List of publications: https://scholar.google.com/citations?hl=en&user=csrnbFYAAAAJ
List of open source repositories: https://github.com/tom94