My name is Peirong Liu (刘沛榕). Since Fall 2025, 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.

I develop machine learning and computer vision methods, with a focus on generative models, representation learning, physics-informed learning, and spatiotemporal modeling. Healthcare and biomedical imaging motivate our questions about how to learn useful representations, generate realistic images and videos, and infer underlying physiological dynamics. Explore our research directions and selected publications.

Selected Awards & Grants

2026 ~ Outstanding Area Chair @ CVPR

2026 ~ Outstanding Reviewer @ ECCV

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

Meta Reviewer (Area Chair) @ NeurIPS | ICLR | CVPR | MICCAI | WACV | AAAI

Conference Reviewer @ NeurIPS | ICLR | ICML | CVPR | ICCV | ECCV | 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) | Pattern Recognition (PR) | Computer Graphics Forum (CGF)

Mentor @ MICCAI Society Mentorship Program

Some nonacademic facts about me ♭♮♯

I spend a lot of time and $$$$ playing and listening to music. I am a die-hard Lana Del Rey fan, but every now and then, I do have a mix of music tastes - I usually listen to metal, rock, R&B, and French electronic/dance.

I attended music schools prior to college, back then I dreamed of becoming a musician and touring the world, but apparently, I ended up in STEM. I began playing Guzheng (a traditional Chinese instrument) when I was 4, since then, I have traveled and performed at various events and competitions. At 9, I received the Professional Level-10 Certificate with the Highest Distinction and held my own solo concert. I am also into drums and MIDI keyboards. During my PhD in North Carolina, I was a member of Duke Music Ensemble.

I love driving and all kinds of outdoor activities - especially rock climbing and road biking.

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