I am a tenure-track assistant professor at the Department of Computer Science in the University of Memphis starting from Fall 2024. Before that, I received my Ph.D. degree in Computing and Information Sciences at Computational Biomedical Lab (CBL) from Rochester Insitute of Technology in 2024, advised by Dr. Linwei Wang. I earned my master’s degree in Computer Science from the University of Southern California and bachelor’s degree in Electrical Engineering and Automation from the Zhejiang University.

My research interests lie within a broad area of machine learning and health care. More specifically, my research focuses on interdisciplinary directions of adaptive computing in AI models, physics-informed deep learning, and their applications on health care. Below are the research topics that I have been working on:

1. Learning to adapt high-dimensional time series forecasting (ICLR 23) and application on personalized virtual hearts (MICCAI 22)
2. Integrating physics on deep learning models with application on electrocardiographic imaging (TMI 24, TMI 23, MICCAI 21, MICCAI 20)
3. Identifiable hybrid modeling (arxiv 24)

NOTE: I am looking for multiple PhD students at the University of Memphis starting in Spring 2025. I am also open to research collaboration both within UM and elsewhere. More details can be found here.