Ryan Holben is a deep learning engineer at NVIDIA with 11 years’ experience applying ML and planning algorithms to autonomous vehicles, building end-to-end driving systems after a long career in self-driving since 2016. He holds a Ph.D. in set theory from UC Irvine and previously taught university mathematics, bringing unusual mathematical rigor to applied robotics and model design. Ryan blends research-grade thinking with production engineering, pairing state-of-the-art deep learning work for E2E autonomy with an ongoing, light research practice in mathematics. Based in Seattle, he balances technical curiosity with creative pursuits—photography, piano, climbing, snowboarding, and espresso—that inform a pragmatic, design-minded approach to complex problems.
11 years of coding experience
Bachelor of Arts (B.A.), Bachelor of Arts (B.A.) at Colby College
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