Published work on enhancing personalized recommendations using multi-armed contextual bandits at Spotify, showing improved performance via counterfactual evaluation methods when rewards are based on streaming time distribution thresholds; Developed a comprehensive set of features to characterize key aspects of native ad quality, such as aesthetic appeal, brand trustworthiness, clarity, etc., based on an empirical study.
Research Experience
Conducted research on personalization for Spotify's home page; Collaborated with Ke (Adam) Zhou, Miriam Redi, and Andy Haines on studying the pre-click quality of native advertisements.
Background
Focused on research in search, social media, and user engagement.