I am an Assistant Teaching Professor in the Department of Statistics & Data Science at Carnegie Mellon University, and the Director of the Carnegie Mellon Sports Analytics Center (CMSAC). CMSAC’s initiatives include an active sports analytics research lab, a summer undergraduate research experience in sports analytics (aka CMSACamp), and the annual Carnegie Mellon Sports Analytics Conference.
My research focuses on developing methods at the interface of inference and machine learning, oriented towards problems in sports analytics and natural language processing. My work has been featured in popular media outlets such as The Athletic, FiveThirtyEight, The Wall Street Journal, and The Washington Post. I am a three-time degree holder from Carnegie Mellon: with a bachelors, masters, and PhD in Statistics. I also have industry experience in both finance and professional sports.
I am actively working on a textbook titled Statistical Methods in Sports Analytics (to be released in 2027), and occasionally write a newsletter called Statistical Thinking in Sports Analytics.
If you’re a CMU student interested in sports analytics, I recommend signing up for my Sports Analytics course 36-460/660 to learn about relevant statistical methods for tackling challenging problems in this growing area.