Dylan Murphy
Senior Analyst, Baseball R&D at Tampa Bay Rays
Tucson, Arizona, United States
Summary
👤
Senior🎓
Top SchoolDylan Murphy is a quantitative scientist and Bayesian data analyst with a decade of experience applying probabilistic modeling to real-world problems, currently driving predictive analytics and R&D for the Tampa Bay Rays. He combines a Ph.D. in Mathematics—grounded in mathematical physics and the Toda hierarchy—with hands-on expertise building models in R, Stan, brms, and PyMC to help a baseball team win more games. Previously a lecturer at the University of Arizona School of Information, he taught Bayesian statistics and machine learning while contributing to NEH-supported OCR research for Arabic and Pashto/Dari through image preprocessing and novel RNN cell work in Keras. Comfortable bridging deep theory and production modeling, he brings a rare mix of advanced mathematics, teaching experience, and applied ML for high-impact, domain-specific decision making.
10 years of coding experience
3 years of employment as a software developer
The University of ArizonaB.S., Mathematics, Physics, B.S., Mathematics, Physics at University of Chicago
Github Skills (9)
bayesian-statistics10
brms10
multilevel10
stan10
bayesian10
statistical-models10
r-package10
bayesian-inference10
mcmc9
Programming languages (1)
Github contributions (5)
mpdylan/mpdylan.github.io
Jul 2016 - Dec 2022
Contributions:86 pushes, 1 branch in 6 years 6 months
mpdylan/INFO510-public
Aug 2020 - Jan 2022
Contributions:46 commits, 37 pushes, 1 branch in 1 year 5 months
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