1. Received the Google Research Scholar Award; 2. Published multiple papers in top-tier conferences such as ICLR, CVPR, ICML, and MICCAI; 3. BioMedGPT accepted by Nature Medicine; 4. TransUNet accepted by Medical Image Analysis; 5. Organized several workshops and tutorials at international conferences, including the FOMMIA tutorial and MOVI workshop at MICCAI 2024; 6. Served as an area chair for various international conferences, including ISBI 2025, CVPR 2025, ICLR 2025, MICCAI 2024, and CHIL 2024.
Research Experience
Currently an Assistant Professor of Computer Science and Engineering at the University of California, Santa Cruz. Formerly a Postdoctoral Fellow at Stanford University.
Education
Ph.D. in Computer Science from Johns Hopkins University, supervised by Bloomberg Distinguished Professor Alan Yuille; Postdoctoral Fellow at Stanford University, working closely with Prof. Lei Xing and Prof. Matthew Lungren.
Background
Assistant Professor of Computer Science and Engineering at the University of California, Santa Cruz. Research interests include: 1) creating innovative and cutting-edge medical multimodal models; 2) building real-world learning systems that ensure fair, trustworthy, and real-time feedback to clinicians, caregivers, and even patients; 3) one-shot/few-shot adaptation of open foundation models to diverse medical tasks; 4) synthetic data generation aligned with clinical knowledge.
Miscellany
Looking for self-motivated PhD students or interns with research interests in machine learning, computer vision, and AI for healthcare. Welcome to apply.