Brendan Cooley
Staff Quantitative Analyst
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolBrendan Cooley is a Staff Quantitative Analyst with nine years of experience applying Bayesian statistics and MLOps to baseball analytics and sports decision-making. He holds a PhD in Politics from Princeton but has translated his social science training into rigorous data modeling, causal inference, and production-ready pipelines for MLB organizations. Brendan progressed from senior data scientist roles into leadership at the Los Angeles Dodgers, where he blends domain expertise in baseball with modern probabilistic approaches. Based in Washington, D.C., he brings a research-first mindset to engineering problems and an unusual cross-disciplinary background—fluent in Chinese study and national security research—that informs creative problem framing and communication across analytics, coaching, and operations.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Arts - BA, Political Science and Peace, War, & Defense, Bachelor of Arts - BA, Political Science and Peace, War, & Defense at The University of North Carolina at Chapel HillSeverna Park High SchoolChinese Intensive Language Program, Chinese Intensive Language Program at Beijing Institute of EducationDoctor of Philosophy - PhD, Politics (International Relations), Doctor of Philosophy - PhD, Politics (International Relations) at Princeton University
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (39)
probabilistic-programming10
compilation10
python10
cpu10
dataframe10
mcmc10
automatic-differentiation10
diffraction10
optimisation10
polars10
pyro10
probabilistic10
threaded10
bayesian-inference10
dataflow9
Programming languages (5)
Github contributions (5)
brendancooley/epbt
Nov 2018 - Aug 2020
Estimating Policy Barriers to Trade (Paper)
Contributions:13 PRs, 190 pushes, 6 branches in 1 year 9 months
policypythonestimatingtradebarriers
brendancooley/patito
Oct 2023 - Apr 2024
A data modelling layer built on top of polars and pydantic
Contributions:48 PRs, 92 pushes, 53 branches in 6 months
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