I am a first-year Computer Science and Informatics PhD student at Emory University. My research interests focus on AI for Healthcare. I am interested in building medical imaging and multimodal machine learning methods to improve cancer patient outcomes.
I previously conducted medical AI research at Memorial Sloan Kettering Cancer Center and in the AI in Medicine Program at Brigham and Women’s Hospital. There, I developed deep-learning models that extract quantitative biomarkers from MRI and CT scans, improving cancer risk prediction, treatment planning, and patient outcomes.
I have a B.S. in Interdisciplinary Data Science from Duke University and Duke Kunshan University .
[Feb. 2026] Our paper on a generalizable foundation model for analysis of human brain MRI was accepted to Nature Neuroscience.
[March. 2025] Our paper on longitudinal risk prediction for pediatric glioma with temporal deep learning was accepted to NEJM AI.
Nat. Neurosci
NEJM AI