Lam’s research focuses on the development and application of molecular imaging technologies based on rapid, high-resolution magnetic resonance spectroscopic imaging, a unique modality that allows for mapping and quantifying the distribution of various metabolites in living animals and humans. This novel molecular imaging capability can provide new molecular biomarkers for cancer diagnosis, prognosis, and treatment efficacy assessment. Lam hopes to help overcome technology’s limitations to translate high-resolution MRSI to brain tumor patients and develop machine learning techniques to optimize treatment outcomes.
Lam obtained his B.S. in Biomedical Engineering from Tsinghua University. He pursued his M.S. in Electrical Engineering at the University of Illinois Urbana-Champaign where he worked as a graduate research assistant and teaching assistant in the Department of Electrical and Computer Engineering. Lam completed an internship with the Applied Science Lab at General Electric before returning to the University as a postdoctoral candidate, serving as a Beckman Institute Graduate Fellow and graduate research assistant. Lam earned his Ph.D. in electrical engineering from Illinois, and he stayed on as a postdoctoral fellow at the Beckman Institute. In 2018, Lam joined the University as an assistant professor in bioengineering.