Hello!
I’m Hiro, a 2nd year M.Sc. student jointly supervised by Kengo Kamatani and Keisuke Yano at the Institute of Statistical Mathematics (ISM) in Tokyo, Japan.
My research focuses around stochastic / statistical algorithms. By making them more efficient, scalable, and automated, I aim to broaden the applications of statistics and machine learning.
Before pursuing my Ph.D., I studied Mathematics at the University of Tokyo.
Interests
- Monte Carlo Computation (SMC, MCMC, etc.)
- Transport Methods (Schrödinger Bridges, Normalizing Flows, etc.)
- Bayesian Modeling (Political Science, Bioinformatics, etc.)
- Bayesian Machine Learning (Gaussian Processes, Hierarchical Models, etc.)
Research
My research interests center around developing and analyzing sampling algorithms, by leveraging insights from their continuous-time limit dynamics. From this perspective, algorithms reveal their intrinsic properties, and my work aims to unify the understanding of various algorithms under a common framework.
Education
Ph.D. in Statistical Science, 2028 (expected)
Graduate University for Advanced Studies, SOKENDAI, Japan
B.A. in Mathematics, 2023
University of Tokyo, Japan
Experience
Cooperative Researcher
RCAST, the University of Tokyo
Economic Security Research Program
Research Assistant
Research Organization of Information and Systems, Tokyo, Japan