Hirofumi Shiba

Education

  • Ph.D. in Statistical Science. Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan. 2023.4 – 2028.3

    Superivsor: Kengo Kamatani

  • B.A. in Mathematics. The University of Tokyo, Japan. 2019.4 – 2023.3

    Supervisor: Nakahiro Yoshida

Research Interests

Computational Statistics & Machine Learning. Especially, Markov Chain Monte Carlo, Piecewise Deterministic Markov Process, Denoising Diffusion Models, Stochastic Gradient Descent, Evolution Strategies, and Bayesian Learning.

Experience

  • Research Fellow. Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan. 2025.4 – 2028.3

    Supported by JST BOOST, Japan Grant Number JPMJBS2412.

  • Data Scientist. PreMedica, Inc., Tokyo, Japan. 2024.9 – today

    Provided Bayesian data analysis solutions to healthcare applications.

  • Research Assistant. The Institute of Statistical Mathematics, Tokyo, Japan. 2023.7 – 2026.3

    Contributed to the R package YUIMA, an open-source project aiming to simulate and infer multidimensional stochastic differential equations, with an emphasis on Bayesian inference.

Research Visit

  • Department of Statistical Science, University College London, United Kingdom. 2024.11.4 – 2024.12.2

    Supervisor: Alexandros Beskos

  • Department of Statistics & Data Science, National University of Singapore. 2025.6.1 – 2025.6.30

    Supervisor: Alexandre Thiéry

  • Institute of Stochastics, Ulm University, Germany. 2025.7.13 – 2025.7.26

    Supervisor: Evgeny Spodarev

Grants & Awards

  • Research Fellow. Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan. 2025.4 – today

    Supported by JST BOOST, Japan Grant Number JPMJBS2412: A Radical Approach to Trustworthy AI in the Coming Era. ¥ 11,700,000.

  • Best Poster Award, 19th Spring Meeting of the Japan Statistical Society. 2025.3.8

  • Director’s Award from the Japan Statistical Society Certificate. 2025.3.8