Summary
Peter Thompson is a Senior Data Scientist with seven years of industry experience and a PhD in Experimental High-Energy Physics from the University of Toronto, blending rigorous research instincts with practical ML engineering. He has led data science teams and shipped production ML solutions across retail and supply-chain environments at LoyaltyOne and Ingram Micro, and now applies his expertise to product-focused analytics at BET99. Comfortable across the full model lifecycle, he specializes in data engineering, model deployment on cloud and on-prem environments, and clear, patient communication with stakeholders. His background in Monte Carlo simulation and radiation-dose estimation at Bayer reveals a strong foundation in simulation-driven modeling and validation that informs his approach to robust analytics. Colleagues describe him as creative, empathetic, and diligent about writing clean, efficient code that scales.
7 years of coding experience
3 years of employment as a software developer
BSc (Hons), Physics, BSc (Hons), Physics at University of Otago
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of Toronto