Dr. Michelle M. Li
Assistant Professor, Biomedical Engineering
- Scott Hall, 4N205
- 412-268-1398
Bio
Michelle M. Li is an Assistant Professor in Biomedical Engineering. Her research focuses on developing novel medical AI algorithms that generate personalized outputs based on the contexts in which they operate, dynamically adapting their reasoning to new cell types and tissues, medical specialties, patient populations, experimental and clinical workflows, and clinical roles. These algorithms are grounded in biological and medical principles to minimize the risk of contextual error, where predictions appear reasonable but fail to account for critical context-specific information. Dr. Li’s lab aims to build models that seamlessly integrate across experimental and clinical workflows, from modulating cellular trajectories to diagnosing rare and complex diseases to inferring treatment response.
Dr. Li was a Berkowitz Postdoctoral Research Fellow at Harvard Medical School. She earned her Ph.D. in Biomedical Informatics from Harvard University, and her B.S. in Mathematical and Computational Science from Stanford University. Her research has been recognized through the National Science Foundation Graduate Research Fellowship, the Albert J. Ryan Fellowship, the Harold M. Weintraub Graduate Student Award, and the UCLA Emerging Genomic Scientist Fellowship. Dr. Li is a founding organizer of the Learning on Graphs Conference, the AI for Drug Discovery and Development Workshop, and the Symposium on AI for Learning Health Systems.