Mathematics and Computer Science

All Majors & Minors

Peter Chi

Dr. Peter Chi is an Assistant Professor of Statistics in the Department of Mathematics and Computer Science. His primary research interests are in statistical methodologies and applications in Genetics and Evolutionary Biology.

His most current work is in protein evolution, as a visiting scholar in the Liberles Research Group with Dr. David Liberles at Temple University. The overall goal is to develop realistic, yet computationally feasible and statistically reasonable models for protein evolution. 

Peter is also an avid poker player, and enjoys writing non-academic articles about poker, and bringing poker examples into the classroom. Peter’s other interests include snowboarding, cycling, ultimate frisbee and watching Michigan Football.


Assistant Professor of Statistics


Mathematics & Computer Science


  • B.S., Cell and Molecular Biology, University of Michigan
  • M.H.S., Genetic Epidemiology, Johns Hopkins University
  • Ph.D., Biostatistics, University of Washington


Courses I’ve taught at Ursinus:

  • STAT-141Q: Statistics I
  • STAT-242: Statistics II
  • STAT-243W: Biostatistics
  • MATH-341: Probability
  • MATH-442: Mathematical Statistics
  • CIE-200: Common Intellectual Experience II (First-year seminar course)

In the Fall 2017 semester, I will be teaching STAT-243W and MATH-341 (one section of each).

Research Interests

  • Statistical Genetics
  • Computational Molecular Evolution
  • Statistics Education
  • Games of chance


Recent Work

Orlenko A, Chi PB, Liberles DA. Characterizing the roles of changing population size and selection on the evolution of flux control in metabolic pathways. BMC Evolutionary Biology. 2017 May 25;17(1):117.

Doi J, Potter G, Wong J, Alcaraz I, Chi P. Web application teaching tools for statistics using R and shiny. Technology Innovations in Statistics Education. 2016; 9(1).

Chi P, Aras R, Martin K, Favero C. Using swiss webster mice to model Fetal Alcohol Spectrum Disorders (FASD): an analysis of multilevel time-to-event data through mixed-effects Cox proportional hazards models. Behavioural Brain Research. 2016 Jan;305:1-7.

Chi PB, Liberles DA. Selection on protein structure, interaction, and sequence. Protein Science. 2016; doi: 10.1002/pro.2886. [Epub ahead of print]

Chi PB, Chattopadhyay S, Lemey P, Sokurenko EV, Minin VN. Synonymous and nonsynonymous distances help untangle convergent evolution and recombination. Statistical Applications in Genetics and Molecular Biology. 2015; 14(4):375-389.

Chi PB, Duncan AE, Kramer PA, Minin VN. Heritability estimation of osteoarthritis in the pig-tailed macaque (Macaca nemestrina) with a look toward future data collection. PeerJ. 2014; 2:e373; DOI 10.7717/peerj.373

See CV for full refereed publication  list.


Poker Articles (in non-refereed popular media)

Texas Hold’em Poker: A Tool for Teaching Statistics.; Aug 23, 2017. Link

A Brief Statistical Analysis for Prediction of the 2015 WSOP Main Event Field Size. PokerNews.comMay 28, 2015. Link

Is Poker Good for a Casino?; Jul 4, 2014. Link

$10 Million Up Top: Will the WSOP Guarantee “Work”?; Feb 26, 2014. Link


Teaching Resources

Rossman/Chance applet collection - the classics.

Cal Poly Shiny applet collection - developed by Drs. Jimmy Doi, Gail Potter, Peter Chi, and students Jimmy Wong and Irwin Alcaraz.

DataCamp online courses for Data Science - in Fall 2017, I started using this resource for my courses and have found it immensely useful. Many of their introductory resources are free.