معرفی
Jeff Andrews is an Associate Professor at the University of British Columbia (Okanagan Campus), affiliated with the Department of Computer Science, Mathematics, Physics and Statistics within the Irving K. Barber Faculty of Science. He co-directs the Master of Data Science Program and leads the Andrews Research Group. Educated at the University of Guelph (PhD, MSc) and Acadia University (BSc), his work focuses on statistical machine learning, particularly mixture models for clustering and classification. His research explores parameter estimation, variable selection, and applications in bioinformatics, healthcare, and engineering.
Research interests include computational statistics, radiation biology, and algorithm development for data analysis. Notable contributions include software packages like teigen, mmtfa, and vscc, which advance model-based clustering techniques. He has secured grants from NSERC, Mitacs, and CFI, and holds awards such as the Top 40 Under 40 (2024) and Chikio Hayashi Award (2017). His publications span machine learning applications in healthcare diagnostics, radiation response modeling, and statistical methodology.
Prof. Andrews supervises graduate students in data science and statistics, emphasizing rigorous coursework in multivariate analysis and programming proficiency. He advocates for early-career researchers through mentorship and grant preparation guidance.
