Papers: Gaze-LLE, Improving Personalized Search with Regularized Low-Rank Parameter Updates, SocialGesture, and others accepted to CVPR 2025; Involved in Ego4D project and led data collection efforts; Awarded National Science Foundation Graduate Research Fellowship.
Research Experience
Interned at Meta (egocentric attention modeling), Adobe (personalized vision-language retrieval), and Google (medical imaging, scene understanding); Conducted research in the Music Informatics Lab and Computer Vision Lab at Indiana University.
Education
PhD: Georgia Institute of Technology, Computer Science, advised by James Rehg and Judy Hoffman; B.S. in Computer Science and B.M. in Music Performance from Indiana University.
Background
Research Interests: Modeling human behavior with computer vision; Field: Computer Science; Brief Introduction: Excited about developing visual and multimodal models that understand people and the way they interact with each other and the world around them.