Bhuvesh Kumar

Research Scientist

Research Areas User Modeling & Personalization

Bhuvesh is a Research Scientist on the User Modeling & Personalization team at Snap Research. His research at Snap focuses on recommender systems, representation learning, and user modeling. Before joining Snap, he worked at TikTok, where he designed large-scale recommendation algorithms. In addition, Bhuvesh has gained research experience at Meta and Amazon. He holds a Ph.D. in Computer Science from the Georgia Institute of Technology, where he was advised by Dr. Jacob Abernethy and Dr. Jamie Morgenstern. His work has been published in top-tier conferences, including ICML and NeurIPS, and spans diverse areas such as mechanism design, robust machine learning, active learning, federated learning, as well as fairness and privacy in machine learning.

Publications