Zhi Huang, PhD

Dr. Huang is an Assistant Professor of Pathology and Laboratory Medicine, with a secondary appointment in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania Perelman School of Medicine. After receiving a PhD in Electrical and Computer Engineering from Purdue University in August 2021, he completed a postdoctoral training at Stanford University from 2021 to 2024.

Dr. Huang’s research focuses on advancing AI and machine learning in medicine, including the development of vision-language foundation models for pathology  (featured on the cover of Nature Medicine), pathologists-AI collaboration (Nature Biomedical Engineering), neurodegenerative disease research (Nature Communications), as well as work on optimizing large language models (Nature). His work has been covered by The New York Times, Stanford Magazine, and Stanford Scope. He also serves on the program committee for the RECOMB 2025 conference.