Previously a Stanford University postdoctoral research fellow at Michael Snyder’s lab, where he led projects related to healthy aging and longevity extension. He did his PhD in Computational Biology, where he built and applied novel network-based machine learning methods for computational drug repurposing, with applications in cancer and diabetes patient metabolomics data. Learn more
Currently the Stanford B. Ascherman Professor and Chair of Genetics and Director of Genomics and Personalized Medicine at Stanford University School of Medicine. He has authored 500+ publications in the field of precision medicine and has 4 previous biotech/healthtech exits.
Currently a Cornell University professor in computational biomedicine and metabolomics, he is a leading expert in building and applying AI tools for metabolomics data analysis and interpretation. He has authored 90+ publications in the field with a focus on chronic diseases, such as cancer, type 2 diabetes, and Alzheimer’s disease. Learn more
Currently a Professor in the Departments of Biological Sciences and Computing Science at the University of Alberta. He founded and leads the Human Metabolome Project (HMP), a multi-university, multi-investigator project that catalogued 250,000+ human metabolites. He has authored 500+ publications with 100,000+ citations in the metabolomics field.