Jesse Windle
Chief Data Scientist
Prairie Village, Kansas, United States
Summary
👤
Senior🎓
Top SchoolJesse Windle is a Chief Data Scientist and PhD mathematician with 16 years of experience applying statistics, data engineering, and machine learning to high-impact problems. He has a track record of turning research-grade methods into production analytics—co-founding Hi Fidelity Genetics as employee #1, co-inventing a novel phenotyping device, securing $2M+ in non-dilutive funding, and building the data stack and team that supported 20+ experiments. Currently he drives data-driven deal sourcing and investment prioritization at DYDX Capital while consulting on ML and AI projects independently. His background spans academia (visiting assistant professor at Duke) to deep biotech productization, combining Bayesian modeling, Flask-based data APIs, and automated phenotype extraction pipelines. Based in Prairie Village, Kansas, he blends rigorous computational mathematics with practical engineering and a knack for translating complex models into actionable business insights. Colleagues rely on him for end-to-end solutions that bridge novel research, robust data infrastructure, and strategic decision-making.
15 years of coding experience
9 years of employment as a software developer
Ph.D., Computational and Applied Mathematics, Ph.D., Computational and Applied Mathematics at The University of Texas at AustinBS, Mathematics, BS, Mathematics at University of Nebraska-Lincoln
Github Skills (9)
bayesian10
bayesian-inference9
julia9
bayesian-statistics9
sta9
inference8
duke6
spring5
r-package4
Programming languages (1)
Github contributions (5)
jwindle/BayesLogit-Thesis
Sep 2012 - Sep 2019
Fast, exact Bayesian inference for logistic likelihoods.
Contributions:397 commits, 1 PR, 4 pushes in 7 years 1 month
logisticbayesian-inferenceinferencebayesian-statisticsjulia
cran/BayesLogit
May 2013 - Sep 2019
Contributions:5 commits in 6 years 5 months
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