Wei Dai
Scholar

Wei Dai

Google Scholar ID: N1x7v90AAAAJ
Massachusetts Institute of Technology
Machine Learning
Citations & Impact
All-time
Citations
613
 
H-index
4
 
i10-index
4
 
Publications
11
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • 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.