Benjamin Leroy is a statistics-trained data scientist and founder based in Portland, Oregon, with a decade of experience translating rigorous uncertainty quantification and optimization research into practical solutions for industry. He earned a Ph.D. in Statistics and Data Science from Carnegie Mellon where his thesis on simulator-enabled conformal prediction advanced methods for reliable predictive inference in complex settings. At Nike he has driven supply-chain and sourcing analytics—building simulation-backed tooling and a python package used to evaluate multisourcing strategies—while mentoring best coding practices and shipping reproducible solutions. Benjamin combines deep probabilistic modeling and operations-research thinking with strong visualization instincts, and his background includes developing R and Python packages and leading TA roles that reflect a commitment to clear technical communication. Notably, he bridges academic rigor and product impact, now channeling that blend into a stealth startup.
10 years of coding experience
9 years of employment as a software developer
Bachelors in Statistics Bachelors in Applied Mathematics Statistics, Bachelors in Statistics Bachelors in Applied Mathematics Statistics at University of California, Berkeley
Associate of Arts - AA Mathematics (AA) and Economics (AA), Associate of Arts - AA Mathematics (AA) and Economics (AA) at Santa Rosa Junior College
Doctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at Carnegie Mellon University
Contributions:234 commits, 63 PRs, 21 pushes in 3 years 5 months
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