Published papers include 'QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training' and several other high-impact conference and journal articles; involved in multiple research projects such as developing ICU clinical behavioral atlas using ambient intelligence and computer vision, and Transformer based hierarchical clustering on brain networks.
Research Experience
Before joining MIT, was a research assistant at Stanford SVL and PAC Lab; worked in Emory Brain Network Lab on graph mining in the area of healthcare.
Education
PhD student at MIT Media Lab, supervised by Dr. Paul Liang; Master's degree from Stanford University in Computer Science, supervised by Dr. Li Fei-Fei and Dr. Ehsan Adeli; Bachelor's degree with highest honor in Computer Science and Math from Emory University, supervised by Dr. Carl Yang.
Background
Research interests: multimodal learning, particularly multimodal LLMs and their applications to healthcare; recent interest in training large MLLMs on highly heterogeneous and noisy real-world data.