Berend Zwartsenberg is a Chief Scientist and AI researcher in Vancouver with a PhD in condensed matter physics and a decade of experience applying probabilistic modelling to real-world problems. He leads research at Inverted AI building generative and multi-agent models, diffusion and normalizing-flow techniques for realistic autonomous driving simulation and planning. His background in experimental condensed matter and ARPES instrumentation gave him strong computational and data-acquisition skills, now repurposed toward tractable densities and permutation-invariant models over sets. Comfortable moving between theory and production, he has a track record of publishing and shipping research tools that bridge probabilistic programming, reinforcement learning, and video generative modelling.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Condensed Matter and Materials Physics, Doctor of Philosophy - PhD, Condensed Matter and Materials Physics at The University of British Columbia
Master's degree, Physics, Cum Laude, Master's degree, Physics, Cum Laude at University of Amsterdam
Contributions:37 commits, 22 pushes, 1 branch in 4 months
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Berend Zwartsenberg - Chief Scientist at Inverted AI