Tomohiko Yokoyama

My interests have focused particularly on the intersection of machine learning and platforms, as well as how to leverage LLMs in agentic applications. With practical experience in algorithm and AI implementation, I am passionate about bridging the gap between research and real-world applications. Currently working as an Applied Research Engineer at Sakana AI. I received my PhD in Information Science and Technology from the University of Tokyo under the supervision of Prof. Satoru Iwata, specializing in optimization, mechanism design, algorithmic game theory, and machine learning.

Engineering Experience

Applied Research Engineer

(09/2025 - Present)
Sakana AI

R&D Engineer

(09/2022 - 09/2025)
Liquitous

ML Engineer, Data Scientist

(02/2022 - 02/2025)
Mirai Share

ML Engineer Intern

(08/2018 - 12/2018)
LegalOn Technologies

Research Experience

Assistant Technical Staff

(04/2022 - 09/2025)
The University of Tokyo

Research Visit

(01/2024 - 02/2024)
National University of Singapore

Research Scientist

(02/2023 - 08/2024)
CyberAgent

R&D Internship

(09/2020 - 09/2020)
NTT

Publications

OSS Projects

Kajibuntan (Household Chore Division Application) GitHub Live Demo Article

We developed a web application using fair division algorithms for household chore allocation. Developed as part of a Code for Japan project. Featured on NHK (Japan's national public broadcasting).

PyMallows GitHub

This is a Mallows model sampling library written in Rust with Python bindings. Generating votes and rankings.

Education

PhD in Information Science and Technology, Mathematical Informatics

(10/2022 - 09/2025)
The University of Tokyo

Master of Information Science and Technology, Mathematical Informatics

(04/2020 - 03/2022)
The University of Tokyo

Bachelor of Engineering, Mathematical Engineering and Information Physics

(04/2016 - 03/2020)
The University of Tokyo