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Gurjit Randhawa is an Assistant Professor in the School of Computer Science at the University of Guelph, specializing in the application of machine learning to complex challenges in genomics, bioinformatics, precision agriculture, and sustainable engineering. He completed his Ph.D. and M.Sc. in Computer Science at the University of Western Ontario, furthering his research as a Postdoctoral Fellow at the David R. Cheriton School of Computer Science at the University of Waterloo for a year. Prior to joining the University of Guelph in 2024, he served as an Assistant Professor in the School of Mathematical and Computational Sciences at the University of Prince Edward Island for three years. His research focuses on utilizing machine learning techniques to analyze genomic sequence data, aiming to improve classification accuracy for disease and virus identification. Furthermore, he is developing intelligent farming tools and autonomous systems to enhance agricultural efficiency and sustainability, particularly focusing on detecting Potato Virus Y (PVY) in crops. His work has the potential to significantly contribute to our understanding of genetic diversity and improve farming practices through innovative, data-driven solutions.
University of Guelph • Guelph, ON, Canada
Joined the School of Computer Science focusing on applying machine learning to complex challenges in genomics and agriculture.
University of Prince Edward Island • Charlottetown, PE, Canada
Served in the School of Mathematical and Computational Sciences.
University of Waterloo • Waterloo, ON, Canada
Conducted research in the David R. Cheriton School of Computer Science.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).