Moving to my new website.

About Me

I am a first-year Ph.D. student in Computer Science at Cornell University, where I’m fortunate to be advised by Thorsten Joachims. I recently completed my bachelor’s degree in Industrial Engineering and Economics at the Tokyo Institute of Technology.

My research lies at the intersection of machine learning and causal inference called counterfactual learning. I am interested in the counterfactual nature of logged bandit feedback and human behavior data obtained from interactive systems, and ways of using biased real-world datasets to assist safe and better decision making in the wild.

Education

• Cornell University (2021-2026)
  • Ph.D. Student in the Department of Computer Science
  • Research Topics: Counterfactual Learning, Fairness in Ranking
• Tokyo Institute of Technology (2016-2021)
  • B.Eng. in Industrial Engineering and Economics
  • Research Topics: Counterfactual Learning, Causal Inference, Recommender Systems