About Me
I am a research scientist at SB Intuitions/LY/LINE Corporation working on machine learning. In my past life, I was a particle physicist. I received my Ph.D. in theoretical physics from the University of Tokyo in 2017, and my B.Sc. in physics (also from the University of Tokyo) in 2012. Upon graduating, I spent a year at the Technical University of Munich as a Marie Skłodowska-Curie ESR, followed by a stint at NEC Corporation as a researcher.
Research Interests
My current interests lie in training large language models. I am also interested in security and privacy issues of machine learning, statistics, theoretical computer science, physics and mathematics in general.
News
- May 2025: Our paper has been accepted to ICML 2025! Preprint available here.
- May 2025: New preprint available: FedDuA: Doubly Adaptive Federated Learning
- April 2025: New preprint available: Accelerating Differentially Private Federated Learning via Adaptive Extrapolation
Education
- Ph.D. in Physics, the University of Tokyo, 2017
- M.S. in Physics, the University of Tokyo, 2014
- B.S. in Physics, the University of Tokyo, 2012
Main Awards
- Recipient of “DBSJ Kambayashi Young Researcher Award”
- Recipient of “Marie Skłodowska-Curie ESR Fellowship”
- Recipient of “JSPS (Japan Society for the Promotion of Science) Research Fellowship for Young Scientists”
- Recipient of “MEXT Scholarship”