Peirong Liu
About
Dr. Peirong Liu is an assistant professor of Electrical and Computer Engineering at Johns Hopkins University, with a joint appointment at the Data Science and Artificial Intelligence (DSAI) Institute. Dr. Liu’s research lies in AI for Healthcare, at an intersection of machine learning (ML), computer vision (CV), and medical image computing (MIC). Her work aims to advance foundational theories of learning and representation, to establish general, reliable and accessible frameworks that can understand and further support the imperfect and complex nature of real-world healthcare systems. Dr. Liu’s research has been published in top-tier ML and CV conferences, including CVPR, ICCV, ECCV, ICLR and NeurIPS, as well as leading medical image computing venues such as IEEE TMI, MICCAI, and IPMI, with multiple works recognized for oral presentations. Before joining Johns Hopkins in 2025, Dr. Liu earned her PhD in Computer Science from the University of North Carolina at Chapel Hill in 2023, and complete her postdoctoral training at the Athinoula A. Martinos Center for Biomedical Imaging of Harvard Medical School and Massachusetts General Hospital. She was recognized as a Rising Star in EECS by MIT, and as a Rising Star in Data Science by UCSD, UChicago and Stanford.
Research Performance Summary
First Recorded Paper
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces
Year: 2019
Citations: 9
Venue: IPMI 2019 (Oral)
Latest Recorded Paper
The normalizing properties of intracranial volume across race and sex
Year: 2025
Citations: 0
Venue: Brain Communications
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.