Jason Thorpe is a Senior Data Scientist with 11 years of experience applying statistical rigor and mathematical modeling to real-world problems, currently building data-driven solutions at Microsoft. Trained in both mathematics and biology (BS/BA, University of Washington; MS, University of Oregon), he blends domain knowledge in biomedical research with advanced quantitative methods developed during a long tenure at Fred Hutch. His work histories show deep expertise in Monte Carlo and Markov models, cost-effectiveness and competing-risk analyses, and productionizing analytical workflows for clinical trials and large lab datasets. At Microsoft he has progressed from research roles to senior data science, signaling strength in taking research ideas into scalable, product-focused implementations. Notably, he has a track record of inventing practical tooling—language parsers, R packages, and database interfaces—that made complex analyses reproducible and operational across multiple studies. Based on his background, he brings a rare combination of theoretical depth, biomedical insight, and hands-on engineering to high-impact data science.
11 years of coding experience
14 years of employment as a software developer
B.S., Biology, B.S., Biology at University of Washington
M. S., Mathematics, M. S., Mathematics at University of Oregon
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