Peirong Liu
Assistant Professor in ECE & DSAI @ Johns Hopkins University
AI for Healthcare | Generative AI | Computer Vision | Medical Imaging
My name is Peirong Liu (刘沛榕), since 2025 Fall, I have been an Assistant Professor of Electrical and Computer Engineering (ECE) at the Johns Hopkins University, affiliated with the Data Science and AI Institute.
I received my PhD in Computer Science from UNC-Chapel Hill in 2023, where I was beyond fortunate to be advised by Dr. Marc Niethammer. During my PhD, I spent two summers as a research intern at Meta AI in New York City. After graduation, I completed my postdoc training at Harvard Medical School & Massachusetts General Hospital. I was recognized as a Rising Star in EECS by MIT, and a Rising Star in Data Science by UCSD, UChicago and Stanford.
My research interests lie in AI for Healthcare, with a focus on Generative AI, Computer Vision, and Medical Image Analysis. For more information, please check out our group research topics.
Selected Awards & Grants
2026 ~ Outstanding Area Chair @ CVPR
2025 ~ Academic Grant Award @ NVIDIA (Sole PI, 4 x RTX PRO 6000 Blackwell GPU)
2024 ~ Rising Stars in Data Science @ UCSD & UChicago & Stanford
2024 ~ Rising Stars in EECS @ MIT
2024 ~ NIH Award @ MICCAI
Teaching
Fall 2026: EN.520.638 - Deep Learning
Spring 2026: EN.520.602 - Generative Models for Computer Vision and Biomedical Imaging
Recent Services
Board Member @ Women in MICCAI (WiM), 2025-2027
Participation Broadening Chair @ WACV 2027
Conference Meta Reviewer (Area Chair) @ ICLR | CVPR | NeurIPS | MICCAI
Conference Reviewer @ NeurIPS | ICLR | ICML | CVPR | ECCV | ICCV | MICCAI | IPMI | MIDL | AISTATS | AAAI
Journal Reviewer @ Nature Communications | IEEE Transactions on Medical Imaging (TMI) | Medical Image Analysis (MedIA) | Machine Learning for Biomedical Image Analysis (MELBA) | Computer Graphics Forum (CGF)
Mentor @ MICCAI Society Mentorship Program