Summary
Peter Smits is a Principal Business Analyst and data scientist with a PhD in Evolutionary Biology and 12 years of experience translating complex Bayesian models into product and research impact across healthcare, shipping, advertising, and academia. He specializes in hierarchical and generalized linear models, survival and longitudinal analysis, and reproducible statistical workflows implemented in Stan and R, with a track record of productionizing analyses for medical research and ad performance. His background in paleobiology yields unusual strengths in modeling sparse, noisy, and temporally clustered events—skills he has applied from predicting species extinctions to optimizing display advertising and healthcare real-world evidence. Peter has moved between research and industry roles at organizations like Truveta, Amazon Advertising, and Wizards of the Coast, combining deep statistical rigor with product-minded delivery. Based in Seattle, he brings both hands-on technical expertise and experience mentoring cross-functional teams to drive defensible, well-documented analytics in high-stakes domains.
12 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS Ecology and Evolutionary Biology, Bachelor of Science - BS Ecology and Evolutionary Biology at University of Washington
Paleobiology Database Intensive Workshop in Analytical Palaeobiology, Paleobiology Database Intensive Workshop in Analytical Palaeobiology at Macquarie University
Doctor of Philosophy - PhD Evolutionary Biology, Doctor of Philosophy - PhD Evolutionary Biology at University of Chicago
Master of Science - MS Biology/Biological Sciences General, Master of Science - MS Biology/Biological Sciences General at Monash University
French