Peter Kim

Professor Emeritus, Statistics
Phone number: 
519-824-4120 x58165
MacNaughton 515

My research interests have been in Bioinformatics, Biostatistics and Geometric Statistics.

In Biostatistics, interest comes in the form of clinical trials and longitudinal data analysis. This is reflected in my publications where the works come from data obtained in a clinical setting. 

The Bioinformatic interest comes from sequencing the gut microbiome in both a human and veterinarian setting. In collaboration with the Department of Pathobiology, we are using high throughput sequencing to try and understand the changes and/or differences in the gut microbiome.

Statistical function estimation on Riemannian manifolds continue to be of interest.  A related but different avenue of interest is in computational algebraic topology where the idea is the development of a statistical Morse theory based on the level sets of an estimated function from some underlying manifold. By statistically calculating the persistent homology, one can recover topological information whereby local clustering of data can be homologically recovered. 

  • Bioinformatics
  • Biostatistics
  • Clinical trials
  • Machine learning
  • Microbiology
  • Gut Bacteriophage Alterations after Fecal Microbiota Transplantation for Recurrent or Refractory Clostridioides difficile Infection
    Jessmyn Niergarth, Doctor of Philosophy (2020). 
  • Beran Estimation and the Fisher-Bingham and Curved Kent Distributions
    Nishan Mudalgie, Doctor of Philosophy (2020).
  • The Phylogenetic LASSO and the Microbiome: Metagenomic Modeling in Fecal Microbiota Transplantation
    Stephen Rush, Doctor of Philosophy (2017).
  • Statistical Methods for Clinical Data Analysis with Application to Clostridium Difficile Infection
    Tatiana Petukhova, Doctor of Philosophy (2015).
  • Basket Option Pricing and the Mellin Transform
    Derek Manuge, Master of Science (2014).
  • Detecting Changes in the Gut Microbiome following Human Biotherapy via Pyrosequencing of the 16S rRNA Gene
    Shaun Pinder, Master of Science (2013).

B.A. (University of Toronto).
M.A. (University of Southern California).
Ph.D. (University of California San Diego).