Faculty Profile

Mathematics Faculty

Philip Yates, PhD

Associate Professor of Mathematics
View Curriculum Vitae

Ph.D. University of South Carolina
M.S. The University of Vermont
B.S. DePaul University

Areas of Expertise:

Applied statistical techniques for environmental sciences, biostatistics, and sports; Statistical education; Statistical consulting.

Courses I Teach:

  • Applied Regression Analysis 
  • Applied Statistical Methods 
  • Calculus I 
  • Calculus II 
  • Elementary Statistics 
  • Probability and Statistics 
  • Seminar in Mathematics 

I have published articles in the Journal of Quantitative Analysis in Sports, Journal of Hydrology, CHANCE, Election Law Journal, and The Baseball Research Journal. My current projects include the point and standard error estimation of the 1% flood adjusted for historic flood observations and the impact of ball possession and pass completion on winning in the English Premier League.

Life Off Campus:

I am originally from Springfield, Illinois. Yes, I make the claim that The Simpsons take place there. I am an avid baseball fan (Cubs) and love tennis. I am a DJ on WWPV 88.7 The Mike, Saint Michael's College's radio station. In my spare time, I am a songwriter and musician. Two of my songs have appeared in movies.

John Trono, professor of computer science, gave an invited talk on March 18, 2015, at Middlebury College, presenting his “A Reasonably Secure Cryptosystem Based on Addition.” He also presented his paper “Transactions: They’re Not Just For Banking Any More” at the Central Plains regional conference of the Consortium for Computing Sciences in Colleges (CCSC-CP) which was held on April 10-11 in Branson, MO. John also presented the culmination of a recent collaborative effort, with colleague Philip Yates (Saint Michael’s associate professor of mathematics), at the 27th European Conference on Operational Research, which was hosted by the University of Strathclyde, Glasgow, Scotland, during July of 2015. His presentation, entitled “Predicting the NCAA Men’s Postseason Basketball Final Poll More Accurately,” described several improvements upon this duo’s joint work. Their earlier paper, “How Predictable is the Overall Voting Pattern in the NCAA Men’s Basketball Post Tournament Poll?” was published in 2014, and appeared in volume 27, #2 of Chance  –  a quarterly “… magazine for people interested in the analysis of data” published by the American Statistical Association.
(posted September 2015)

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