Sean Pinkney is a Senior Director of Data Science with nine years of experience leading analytics and innovation teams at Comscore, where he oversees a 12-person group building measurement and effectiveness methodologies. He blends applied Bayesian modeling, time-series and state-space techniques, and deep learning to drive product innovation—he holds a patent-pending method for multiplatform advertising measurement. Sean contributes to the Stan probabilistic programming ecosystem as a back-end developer, adding advanced automatic-differentiation functionality to the widely used stan-dev/math library. His work spans privacy-focused measurement and panel enrichment, reflecting a research-forward approach to real-world business problems. With dual BA degrees in Economics and Mathematics and an MS in Statistics, he pairs rigorous quantitative training with a track record of shipping impactful analytics products. Colleagues describe him as a scientist-engineer who moves smoothly between research, production code, and open-source stewardship.
8 years of coding experience
6 years of employment as a software developer
Masters of Arts, Economics, Masters of Arts, Economics at University of British Columbia
MS, Statistics, MS, Statistics at The University of Akron
University of Sussex
BA, Economics, BA, Economics at University of Colorado at Boulder
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
Contributions:114 reviews, 274 commits, 42 PRs in 1 year 11 months
Contributions summary:Sean's contributions primarily focused on adding functionality and improving the "Stan Math Library," a C++ template library for automatic differentiation. Their work involved implementing a generalized inverse function and associated testing. The changes included creating header and test files, fixing documentation, and optimizing the algebra within the function.
Contributions:22 reviews, 588 commits, 75 PRs in 1 year 6 months
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