Michelle M. Li, PhD

Department of Biomedical Engineering

College of Engineering

Carnegie Mellon University

Pittsburgh, PA 15213

michellemli@cmu.edu

I am an Assistant Professor in the Department of Biomedical Engineering and Computational Biology (courtesy) at Carnegie Mellon University. My research centers around innovating contextual AI algorithms to diagnose and treat patients for whom conventional medicine fails. Concretely, my work aims to tackle the challenges of diagnosing patients with rare, or even novel, diseases and facilitating drug discovery with single-cell resolution. The overarching objective of my research is to expedite diagnostic and therapeutic endeavors, which would not be possible without our close academic and industry collaborators (e.g., from the Undiagnosed Diseases Network, Roche, Mass General Brigham, the Aligning Science Across Parkinson’s (ASAP) initiative, the Chan-Zuckerberg Initiative, and the Clalit Research Institute). I was a Berkowitz Postdoctoral Research Fellow at Harvard Medical School. I obtained my PhD in Biomedical Informatics from Harvard University under the mentorship of Dr. Marinka Zitnik, and was a National Science Foundation Graduate Research Fellow, Albert J. Ryan Fellow, and Harold M. Weintraub Graduate Student Award recipient. I received my B.S. in Mathematical and Computational Science from Stanford University, where I developed computational methods to study the mechanisms of antimicrobial resistance and susceptibility with Dr. Ami Bhatt and Dr. Samuel Yang.