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
- October 2025: New preprint available: From Acceleration to Saturation: Scaling Behavior of Bootstrapped Language Model Pretraining
- September 2025: New preprint available: Optimal Variance and Covariance Estimation under Differential Privacy in the Add-Remove Model and Beyond
- May 2025: Our paper has been accepted to ICML 2025! Preprint available here.
Education
- Ph.D. in Physics, the University of Tokyo, 2017
Publication
Google Scholar ORCID dblp Semantic Scholar
Contact
Email: sengpei DOT liew AT sbintuitions DOT co DOT jp