I am a research staff member at the IBM T.J. Watson Research Center, Yorktown Heights, NY. I work on cognitive education projects specializing in personalized learning, knowledge induction, multi-modal conversational systems, recommendation, and visualization. I had worked as a Watson data scientist at Watson Life Group for Chef Watson. I received my Ph.D. in information science from University of Pittsburgh and worked as a postdoctoral NSF-CRA Computing Innovation Fellow at the Human-Computer Interaction Lab (HCIL), University of Maryland at College Park. My research interests are: intelligent user interfaces including visualization and interpretability of machine learning models, user modeling, personalization, information retrieval, and recommender systems.
I have participated in several projects on user behavior visualization and recommendation, open user profile for news recommendation, adaptive visualization for recommender/information retrieval systems, adaptive visualization for educational resources, knowledge structure visualization, and temporal network visualization.
Transparent and user-controllerable news recommender model (Open user profiles)
Adaptive visualization for personalized learning -- Visually explain the rational for recommendation and search
Network evolution -- explore and analyze temporal network changes
Adaptive Quiz visualization