معرفی
Hao Li is an Assistant Professor at Vanderbilt University, affiliated with the Vanderbilt School of Engineering and the Medical Image Computing Laboratory (MedICL). He holds a PhD in Computer Science (2024) with a dissertation titled From Data-driven to Data-centric Medical Image Segmentation, advised by Ipek Oguz.
- Education:
- PhD, Computer Science, Vanderbilt University (2024)
Li’s research focuses on Medical Image Analysis, particularly in digital pathology and spatial transcriptomics. His work bridges deep learning with renal pathology, emphasizing data-centric approaches for improved segmentation and disease modeling.
His recent publications highlight advancements in glomerular segmentation, cross-species data integration, and AI foundation models for kidney pathology. Technologies like MagNet (multi-level attention graph networks) and PySpatial (high-speed pathomics toolkit) underscore his contributions to computational biology and medical imaging.
- Grants & Workshops:
- NIH Grant Writing Workshops (2022-2023)
Li’s affiliations include the VISE Partners program and the Medical Innovators Development Program (MIDP), reflecting collaborations between Vanderbilt School of Engineering and Vanderbilt School of Medicine. His lab, MedICL, drives interdisciplinary research in medical image computing and AI-driven diagnostics.
