Research Program and Theme
Cancer Technology and Data Science | Cancer Imaging
Research Focus
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. View his research group’s website for more information.
Education
- Ph.D., Electrical and Computer Engineering, University of Illinois, 2015
Campus Affiliations
- Associate Professor, Bioengineering
- Director, M.S. in Biomedical Image Computing Program, Bioengineering
- Associate Professor, Electrical and Computer Engineering
- Associate Professor, Neuroscience Program
- Associate Professor, Biomedical and Translational Sciences
- Associate Professor, Beckman Institute for Advanced Science and Technology
- Affiliate, Personalized Nutrition Initiative, Carl R. Woese Institute for Genomic Biology
Select Honors and Recognitions
- NIBIB Trailblazer R21 Award, 2020
- NSF CAREER Award, 2020