Minmin Chen is a principal research scientist at Google Deepmind, leading efforts in building conversational AI systems through personalization and RL.  She received her PhD from Washington University in St. Louis. Her main research interests are in reinforcement learning and bandit algorithms and their applications to recommendation and assistive systems. She received 2024 WSDM best paper award for her work in exploration in recommender systems. She is a guest editor of Machine Learning Journal and Area Chair for Neurips, ICML, ICLR and ACM RecSys.