About Me

I am an incoming Grad student in Computer Science at Caltech, where I will be mainly advised by Eric Mazumdar and Federico Echenique.
I’m also working with Rediet Abebe (UC Berkeley), Yusuke Narita (Yale University), and some tech companies in Tokyo for empirical studies at scale. I am expecting to graduate with Bachelor’s degree in Economics at Keio University in March 2022.

My research interest lies at the combination of causal inference and machine learning with social science and philosophy. I am interested in applying counterfactual policy evaluation to public issues, using human behavioral data obtained from interactive systems.

Research Interests

• Computer Science
  • Algorithmic mechanism design
  • Fairness in Machine Learnig
  • Offline reinforcement learning and evaluation
  • AI in Education
• Economics
  • Mechanism design
  • Econometrics
  • History
  • Economics of Education

Education

• California Institute of Technology (2022-)
  • Incoming Graduate Student at the Department of Computational and Mathematical Sciences
  • Research Topics: CS+Econ, Statistical Machine Learning, Causal Infrence
• Keio University (2018-2022)
  • B.A. in Economics
  • Research Topics: Econometrics, ALgorithmic Mechanism Design, Recommendation Systems

Selcted Recent & Upcoming Talks

Academia

• Caltech CMX Lunch Seminar Series / Mar, 2022
• Educational Testing Services (ETS) / Feb, 2022
• International AAAI Conference on Web and Social Media (ICWSM ‘21) / June, 2021

Industry

• ALE Co, Ltd. / Nov, 2021
• The Ethical Spirits & Co. / Dec, 2021
• Microsoft Research Asia / Dec, 2021

News

• 2021.10: “Open Bandit Dataset and Pipeline” has been accepted at NeurIPS2021 Datasets and Benchmarks Track!

Contact

• Email : contact[at]takahiro-oda.com
• DM Me : Twitter