Paul Thibodeau is a staff data scientist and former tenured professor who translates academic rigor into high-impact ML products and marketing analytics. With 9 years in industry and 15+ years of research experience, he builds Bayesian marketing mix models and optimization tools that guide tens of millions in monthly ad spend and unlocked $1.5M+ in B2B revenue. He has led cross-functional programs at BetterHelp, scaled learning-tracking models for 1M+ students at eSpark, and mentored dozens of early-career analysts and student researchers. His background in cognitive science and statistics (PhD/MS, Stanford) informs a rare mix of experimental design, causal inference, and practical deployment. He’s equally comfortable presenting on national media and shipping productionized models that lift conversion and precision across countries. Colleagues rely on him for curiosity-driven investigations that turn complex behavioral data into clear strategic decisions.
8 years of coding experience
18 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Bachelor's degree, Cognitive Science and Chinese, Bachelor's degree, Cognitive Science and Chinese at Swarthmore College
Doctor of Philosophy - PhD, Cognitive Science, Doctor of Philosophy - PhD, Cognitive Science at Stanford University
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