Daniel Lee
VP Of Sports Analytics at PyMC Labs
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Lee is a computational Bayesian statistician and VP of Sports Analytics with 12+ years applying advanced probabilistic modeling to sports, medicine, elections, retail, and defense. A core developer and systems architect on the widely used Stan project, he has deep expertise in automatic differentiation, ODE-based models, and making complex Stan programs production-ready. He co-founded a clinical analytics startup where he built scalable Stan-based infrastructure, implemented joint PK/PD models, and handled HIPAA, DevOps, and AWS at scale. Daniel has led applied-statistics workshops at top venues (NeurIPS, StanCon, MIT Sloan) and translated domain knowledge—like musical structure into streaming forecasts at Warner Music—into explainable models. Known for optimizing numerical code and cross-platform fixes (including Windows test portability) in stan-dev repos, he blends low-level algorithmic rigor with product-focused delivery. Based in New York, he advises teams that need to turn uncertainty into actionable insight.
12 years of coding experience
19 years of employment as a software developer
Bachelor of Science - BS Mathematics with Computer Science (18C), Bachelor of Science - BS Mathematics with Computer Science (18C) at Massachusetts Institute of TechnologyPart III Mathematics Statistics, Part III Mathematics Statistics at University of CambridgeJisan Research Institute
Github Skills (21)
algorithm10
algorithms10
c-language10
mathematics10
math10
maths10
statistical-models10
numerical-methods10
cprogramming-language10
linear-algebra10
testing9
eigen9
numerical-analysis8
boost8
performance-optimization8
Programming languages (8)
Github contributions (5)
stan-dev/math
Jan 2018 - Jan 2023
The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2543 commits, 1 PR, 1642 pushes in 5 years
Contributions summary:Daniel primarily worked on the Stan Math Library, contributing to the automated differentiation and mathematical function implementations. Their commits involved formatting code, including changes across multiple files within the math library related to numerical computation, and optimization. These changes suggest a focus on improving the efficiency and accuracy of mathematical functions used within the library, especially within the context of scientific and statistical computing.
automatic-differentiationprobabilistic-modelingsundialsmodestemplate-library
stan-dev/stan
Jan 2014 - Dec 2022
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Role in this project:Back-end Developer & Systems Architect
Back-end Developer & Systems ArchitectContributions:1028 commits, 91 PRs, 1243 pushes in 9 years
Contributions summary:Daniel contributed to the core mathematical functions of the Stan statistical modeling language by rewriting the `stan::agrad::max` function within the `integrate_ode.hpp` file. They also made several modifications related to platform-specific testing, specifically fixing tests under Windows. The user appears to have been involved in integrating updates from another branch and also participated in code formatting and modernization efforts.
bayesian-inferencestanmasterbayesian-statisticsdetails
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