I am passionate about leveraging cutting-edge AI methods to accelerate scientific progress in biology and medicine. Through cross-disciplinary collaborations among clinicians, biologists, and AI researchers, I aim to steer advancements in a direction that facilitates their translation into meaningful clinical impact and real-world healthcare improvements.
The Ohio State University
Co-advised by Prof. Yu Su and Prof. Wei-Lun (Harry) Chao
Columbus, OH, USA
University of California, San Diego
Advised by Prof. Jingbo Shang
La Jolla, CA, USA
North Carolina State University
Summa Cum Laude
Raleigh, NC, USA
* denotes equal contributions and co-first authorship.
The lead student organizer from Imageomics
Authors: Samuel Stevens*, Jiaman Wu*, Matthew J. Thompson, Elizabeth G. Campolongo, Chan Hee Song, David E. Carlyn, Li Dong, Wasila M. Dahdul, Charles Stewart, Tanya Berger-Wolf, Wei-Lun Chao, Yu Su.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Best Student Paper; Best Paper Finalist (top 0.2%).
Authors: Chan Hee Song*, Jiaman Wu*, Ju-Seung Byeon, Zexin Xu, Vardaan Pahuja, Goonmeet Bajaj, Samuel Stevens, Ziru Chen, Yu Su.
CVPR Embodied AI Workshop, 2023.
Authors: Chan Hee Song, Jiaman Wu, Ju-Seung Byeon, Zexin Xu, Vardaan Pahuja, Goonmeet Bajaj, Samuel Stevens, Ziru Chen, Yu Su.
IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
Authors: Jiaman Wu, Dezhi Hong, Rajesh Gupta, Jingbo Shang.
Findings of the Association for Computational Linguistics (ACL), 2021.