Olivier Binette is a research scientist in machine learning with eight years of experience bridging academic statistics and applied data science. He holds a PhD in Statistics from Duke and has applied probabilistic and causal methods across roles at Upstart, the American Institutes for Research, and research stints at Los Alamos. Olivier thrives on turning complex problems into simple, robust solutions—evident in a portfolio of projects on GitHub that complement his production-focused work. His background spans consulting, industry data science, and graduate research, giving him fluency in both experimental design and deployable ML systems. Based in Durham, NC, he brings a rare combination of rigorous statistical training and hands-on engineering that accelerates evidence-driven product decisions.
8 years of coding experience
5 years of employment as a software developer
PhD Statistics, PhD Statistics at Duke University
Bachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at UQAM | Université du Québec à Montréal
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Olivier Binette - Research Scientist, Machine Learning at Upstart