Edmund Y. Lam received the B.S. (with distinction), M.S., and Ph.D. degrees in electrical engineering from Stanford University.

He is a Professor in Electrical and Electronic Engineering and Associate Head of Department at the University of Hong Kong. Concurrently, he is also the Director of the Computer Engineering program and the founding Director of the Imaging Systems Laboratory. He has also been a Visiting Associate Professor in the Department of Electrical Engineering and Computer Science at Massachusetts Institute of Technology.

His research focuses on computational optics and imaging, which span from the design of algorithms and systems to applications especially in semiconductor manufacturing and biomedicine. In addition to advancing inverse imaging techniques for image reconstruction and quality enhancement, he has also been a pioneer in applying artificial intelligence to computational imaging, developing deep learning algorithms that significantly improve image resolution and noise suppression in holographic microscopes. He has received several awards over the years, including the Outstanding Young Researcher Award, Outstanding Researcher Award, and Outstanding Teaching Award (team award) from the University of Hong Kong, and the IBM Faculty Award for outstanding contributions in computational lithography technology.

He is a founding member of the Hong Kong Young Academy of Sciences, and a Fellow of SPIE, OSA, IEEE, IS&T, IOP, and HKIE. At SPIE, he has served in a number of capacities, including co-founding the High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management conference at SPIE Photonics West, chair of the Image Processing: Machine Vision Applications conference at IS&T/SPIE Electronic Imaging Symposium, and is/was a member of the Joseph W. Goodman Book Writing Award Selection Panel, Fellow Committee, Publications Committee, Membership and Communities Committee, and Senior Member Subcommittee.