Peter Kim

Peter Kim is a Professor in the Department of Mathematics and Statistics at the University of Guelph, specializing in biostatistics, microbiome research, and computational geometry. His work bridges statistical theory, clinical applications, and topological analysis of complex datasets.

• University: University of Guelph
• Department: Mathematics and Statistics
• Email: pkim@uoguelph.ca

Research Focus: Peter Kim's research integrates topological data analysis, machine learning, and microbiome studies to address clinical and biological questions, particularly in recurrent Clostridioides difficile infections and precision medicine. He develops geometric statistical models to analyze microbial dynamics and therapeutic outcomes.

Recent Trends: His publications emphasize nonparametric regression on symmetric spaces, microbiome engraftment, and clinical efficacy of FMT. Key methodologies include Fréchet analysis, persistent homology, and survival modeling applied to microbial ecosystems and medical imaging.