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

• January 2026: New preprint available: Towards Principled Design of Mixture-of-Experts Language Models under Memory and Inference Constraints
• December 2025: Two papers accepted to NeurIPS 2025 Workshop
• September 2025: New preprint available: From Acceleration to Saturation: Scaling Behavior of Bootstrapped Language Model Pretraining

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