Published papers include 'SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation' (preprint), 'An Off-Policy Learning Approach for Steering Sentence Generation towards Personalization' (RecSys 2025), etc.; awarded Quad Fellowship.
Research Experience
Student research intern at Meta Central Applied Science (CAS) team.
Education
B.Eng. from Tokyo Institute of Technology with Excellent Student Award, majoring in Industrial Engineering and Economics; Ph.D. student at Cornell CS, advised by Prof. Thorsten Joachims and Prof. Sarah Dean.
Background
Research Interest: Decision making and machine learning, particularly reinforcement learning, counterfactual evaluation and learning, and their application to real-world scenarios, including recommendations. Major in Industrial Engineering and Economics.
Miscellany
Personal interests and other information not provided.