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Peter Kim is a Professor in the Department of Mathematics and Statistics at the University of Guelph. His research interests encompass Bioinformatics, Biostatistics, Clinical Trials, Machine Learning, and Microbiology. With a strong focus on employing statistical methods and mathematical modeling to address complex biological questions, he has contributed significantly to the fields of data analysis in health sciences and biological research. By integrating computational approaches with traditional statistical techniques, he strives to develop innovative solutions that advance the understanding of biological processes and clinical outcomes. Additionally, Professor Kim is involved in various collaborative research projects that aim to enhance the application of these methodologies in real-world scenarios, particularly in clinical settings. His commitment to education and mentorship continues to inspire the next generation of researchers in the mathematical and statistical sciences.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).