Michelle Li headshot

Michelle Li, PhD

Berkowitz Family Living Laboratory Postdoctoral Research Fellow

Michelle Li is a Berkowitz Postdoctoral Research Fellow at Harvard Medical School. Her research is focused on innovating contextual AI algorithms to diagnose and treat patients for whom conventional medicine fails. Concretely, her work tackles the challenges of diagnosing patients with rare, or even novel, diseases and facilitating drug discovery with single-cell resolution. She obtained her PhD in Biomedical Informatics from Harvard University under the mentorship of Dr. Marinka Zitnik, and her B.S. in Mathematical and Computational Science from Stanford University. Her research in contextual AI for precision medicine was awarded the National Science Foundation Graduate Research Fellowship, the Albert J. Ryan Fellowship, and the Harold M. Weintraub Graduate Student Award.

Simulation of undiagnosed patients with novel genetic conditions.
Authors: Alsentzer E, Finlayson SG, Li MM, Kobren SN, Kohane IS.
Nat Commun
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Metapaths: similarity search in heterogeneous knowledge graphs via meta-paths.
Authors: Noori A, Li MM, Tan ALM, Zitnik M.
Bioinformatics
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Graph representation learning in biomedicine and healthcare.
Authors: Li MM, Huang K, Zitnik M.
Nat Biomed Eng
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Microbiota dynamics in a randomized trial of gut decontamination during allogeneic hematopoietic cell transplantation.
Authors: Severyn CJ, Siranosian BA, Kong ST, Moreno A, Li MM, Chen N, Duncan CN, Margossian SP, Lehmann LE, Sun S, Andermann TM, Birbrayer O, Silverstein S, Reynolds CG, Kim S, Banaei N, Ritz J, Fodor AA, London WB, Bhatt AS, Whangbo JS.
JCI Insight
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