Michael Wan

Michael Wan is a research scientist at the Institute for Experiential AI at Northeastern University. He works in computer vision, deep learning, and applications to health and biomedical sciences.

Michael’s core research interests include domain adaptation, spatiotemporal neural networks, and human pose and state estimation. He works closely with researchers in medicine and psychology to develop vision-based algorithms to monitor human body poses, physiological states, and behavior, with a special interest in assessments of pediatric health and development. Michael also researches deep learning methods in biomedical image analysis, for modalities including cell and tissue microscopy, collaborating closely with biomedical researchers to improve clinical and drug development workflows in osteoporosis, cancer, and other diseases.

Growing up in Toronto, Canada, Michael received his bachelor’s degree in mathematics, physics, and philosophy from the University of Toronto, and his doctorate in mathematical logic from the University of California, Berkeley. When not writing bios of himself in the third person, Michael enjoys playing soccer and guitar, and exploring urban environments with his camera.