Ryan McShane

Ph.D. Statistical Science Candidate


Welcome to my home page. I am a Ph.D. Statistical Science candidate at Southern Methodist University who passed his Prospectus (dissertation proposal) on December 1st, 2017. The working title for my dissertation under Dr. Ian Harris is, “Modeling Stochastically Intransitive Relationships in Paired Comparison Data”. I have presented this research at several conferences in 2018, including at JSM and CASSIS, and have won prizes for it at COTS and SMU’s Graduate Research Day, with three related papers being prepared for submission.

I am also a Research Assistant under Dr. Stokes, doing work for the S.M.U. Recreational Fisheries Program (or S.M.U.R.F. Program). I presented some of this work at BigSurv18 in Barcelona, and have two papers related to this being prepared for submission.

In general, my research interests include the method of paired comparisons, basketball analytics, eSports analytics, applied statistics, simulation, algorithm optimization, combinatorics, nonparametric methods, and interdisciplinarity. You can find my activity on stack overflow, too.

Prior to 2018, I spent two years as a high school math teacher and tennis coach, a year as a credit risk analyst, six years as a teaching assistant, and have also been tutoring for the past eleven years. I graduated from St. Mary’s University with a Bachelor of Science in Mathematics and a minor in Computer Science and earned a Master of Science in Applied Statistics from The University of Texas at San Antonio. You can read more about my professional experience and credentials at my LinkedIn page.

In my spare time I enjoy playing basketball, watching the San Antonio Spurs, playing the electric bass, playing and commentating Super Smash Brothers, hiking on mountains, collecting and listening to vinyl records, puzzles, and reading.

Contact information:
Heroy 135
Department of Statistical Science
Southern Methodist University
rmcshane at smu dot edu

Basketball at USAA


Playing SSB4 1v1 against the 8th best player in the world (by PG Rankings, Winter/Spring 2017)


At the MIT Sloan Sports Analytics Conference


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