Date/Time
Date(s) - 09/22/2025
3:00 pm - 4:00 pm
Location
Communicore, C1-007
Metabolism plays a fundamental role in supporting and executing biological functions. The rich heterogeneities in biochemistry across cells, tissues, and organs, as well as their important roles in different diseases are increasingly being recognized. Meanwhile, our ability to comprehensively measure, characterize and understand such heterogeneities under various physiological and pathophysiological conditions are still limited by several analytical and computational challenges. In this talk, we will discuss our efforts on developing and applying new imaging and computational technologies that integrate instrumentation physics, biochemical priors, and AI to interrogate neurochemistry with enhanced throughput and spatial-chemical details. I will also discuss our pursuit on integrating metabolomic data across scales and the ex vivo to in vivo spectrum.
Dr. Fan Lam has a PhD in Electrical and Computer Engineering from the University of Illinois Urbana-Champaign (UIUC). He is currently an Associate Professor in the Department of Bioengineering at UIUC, affiliated with the Departments of Electrical and Computer Engineering, Physics, the Beckman Institute for Advanced Science and Technology and the Carl R. Woese Institute for Genomic Biology. He is the director of the Master of Science in Biomedical Image Computing (MS-BIC) program at UIUC. His group integrates experimental and computational approaches to develop novel imaging technologies for studying the multiscale biochemical basis of brain function and disease. Dr. Lam is a Senior Member of IEEE, and a recipient of an NSF CAREER Award, an NIH/NIBIB Trailblazer Award, and an NIGMS MIRA Award. Dr. Lam currently serves as an Associate Editor for IEEE Transactions on Medical Imaging and IEEE Transactions on Computational Imaging, and as a member of the IEEE Computational Imaging Technical Committee and the ISMRM Metabolomics and Metabolomic Imaging Study Group.