Research Program and Theme
- Program: Cancer Technology and Data Science
- Theme: 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 enables mapping and quantification of metabolite distributions in living animals and humans. This novel molecular imaging capability can provide new molecular biomarkers for cancer diagnosis, prognosis, and assessment of treatment efficacy. 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. Learn more about Fan Lam’s lab.
Other Campus Affiliations
- 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