Patrick Lavictoire is a machine learning leader with a rare foundation in pure mathematics and a proven track record turning theoretical insights into scalable systems across academia and industry. He holds a PhD in Mathematics from UC Berkeley and has contributed to AI safety research at MIRI, plus applied ML across search relevance, location prediction, and fraud prevention at Quixey, Lyft, and Apple. Since 2022, he has been Machine Learning Manager at Upstart, leading a team that models the final loan terms shown to users on partner sites, directly influencing pricing and user experience. He champions rigorous modeling, reliable data pipelines, and responsible data practices—hallmarks of his work at Quixey and MIRI. Based in Berkeley, he has coauthored papers at the intersection of decision theory and ML and brings a rare blend of academic depth and production-focused leadership. He enjoys building teams that translate advanced theory into practical, safe, and scalable ML systems.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Mathematics, Doctor of Philosophy (PhD), Mathematics at University of California, Berkeley
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of Chicago
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