About
Ron Yurko is an Assistant Teaching Professor in the Department of Statistics & Data Science at Carnegie Mellon University, where he focuses on methods at the intersection of statistical inference and machine learning. He serves as Director of the Carnegie Mellon Sports Analytics Center (CMSAC), overseeing initiatives like the sports analytics research lab, CMSACamp, and the annual Sports Analytics Conference.
Research Interests
His work bridges Sports Analytics and Natural Language Processing, with applications in Biostatistics, Public Policy, and Statistical Pedagogy. Recent projects include evaluating NFL player positioning (NFL Ghosts), analyzing language patterns in LLM outputs, and developing fractional tackle metrics for defensive evaluation.
Google Scholar articles reveal deeper methodological contributions to Bayesian modeling for directional movement analysis, multilevel models for snap timing, and spatio-temporal frameworks in football event modeling.
Academic Background
- PhD in Statistics (2022) from Carnegie Mellon University
- BS in Statistics with University Honors (2015) from Carnegie Mellon
Additional Contributions
He is developing a textbook Statistical Methods in Sports Analytics (2027), maintains the Statistical Thinking in Sports Analytics newsletter, and teaches course 36-460/660 at CMU.
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