Hello!
My name is Hirofumi, and I am a Ph.D. student supervised by Kengo Kamatani at the Institute of Statistical Mathematics (ISM), Tokyo, Japan.
I view learning and inference as stochastic dynamics, and study how computational randomness is transformed into statistical performance.
I am particularly interested in Monte Carlo and optimization algorithms, seen as stochastic processes, and how {weak, structured} {noise, randomization} can improve their statistical performance.
My main mathematical tools are stochastic processes and functional analysis, fields in which I was trained at the University of Tokyo before my Ph.D.
Qualifications
Ph.D. in Statistical Science, 2028 (expected)
Graduate University for Advanced Studies, SOKENDAI, Japan
B.Sc. in Mathematics, 2023
University of Tokyo, Japan
Positions
Research Fellow, 2025.4 – present
Graduate University for Advanced Studies, SOKENDAI, Japan
Supported by JST BOOST, Japan Grant Number JPMJBS2412.
Data Scientist, 2024.9 – present
PreMedica Inc., Tokyo, Japan
Consulting in the field of medical data analysis.
Research Visits
Ulm University, Germany, 2025.7.13–26
Evgeny Spodarev at the Institute of Stochastics.
National University of Singapore, 2025.6.1–30
Alexandre Thiéry at the Department of Statistics & Data Science.
University College London, UK, 2024.11.4–12.2
Alexandros Beskos at the Department of Statistical Science.
Awards
Best Poster Award, 2025.3
19th Spring Meeting of the Japanese Statistical Society
Director’s Award, 2025.3
Japanese Statistical Society Certificate
Languages
Japanese (native), English (fluent), Mandarin Chinese (fluent), German (A2)