Research Theme:
Imaging & Computational Biology,Research Interests:
medical imaging imaging biomarkers; maching learning; clinical prediction; quantitative image analysis
Biography:
Roger Tam obtained his Ph.D. in computer science in 2004 from the University of British Columbia (UBC) in the research areas of computational geometry, shape modelling, and visualization. He joined the UBC Department of Radiology as a faculty member in 2007. In 2018, he became a founding member of the UBC School of Biomedical Engineering, which has been his home department since 2022. His research interests centre on image analysis, machine learning, and personalized medicine. His teaching interests focus on experiential learning and engineering design.
RESEARCH EXCELLENCE:
My students have published first-author papers in prestigious journals and conferences like MICCAI, MIDL, Lancet Digital Health, and Frontiers in Neurology. We led the field of deep learning of MRIs for diagnosis and prediction in multiple sclerosis. We are particularly proud of producing practical tools used in clinical studies and trials while being novel enough to be published in top technical journals and conferences.