Curriculum Vitae
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Last updated: 2026-11-13
Affiliation
- MATS Fellow, Redwood Research stream, MATS ResearchSep 2026 – Present
- Ph.D. Student, Department of Language and Information Sciences, The University of TokyoApr 2024 – Mar 2027, expected
Research & Industry Experience
- Research Fellow, MATS Research, Redwood Research streamSep 2026 – Present
- Visiting Scholar, New York University, Center for Data ScienceNov 2025 – May 2026
- Research Visitor, ETH Zürich, Department of Computer ScienceNov 2024 – Jun 2025
- Technical Staff, National Institute of Advanced Industrial Science and Technology (AIST)Nov 2022 – Mar 2026
- Research Assistant, Nagoya UniversityJul 2024 – Sep 2024
- Research Staff, The University of TokyoApr 2022 – Jun 2023
- AI Engineer (Intern), ELYZA Inc.Apr 2021 – Apr 2024
- R&D Engineer (Intern), Cookpad Inc.Sep 2022 – Nov 2022
Education
- Ph.D., Department of Language and Information Sciences, The University of TokyoApr 2024 – Mar 2027, expected
- M.S., Department of Language and Information Sciences, The University of TokyoApr 2022 – Mar 2024
- B.A., College of Arts and Sciences, The University of TokyoApr 2018 – Mar 2022
Peer-reviewed Journal Articles
- Kenjiro Ide, Taiga Someya, Kohei Kawaguchi, Keisuke Fujii (2026). Expandable decision-making states for multi-agent deep reinforcement learning in soccer tactical analysis. Journal of Big Data, 13, Article 179.
- Calvin Yeung, Kenjiro Ide, Taiga Someya, Keisuke Fujii (2025). OpenSTARLab: open approach for spatio-temporal agent data analysis in soccer. Complex & Intelligent Systems, 11, Article 342.
- Anthony Cioppa et al. (including Taiga Someya) (2024). SoccerNet 2023 challenges results. Sports Engineering, 27, Article 24.
Grants & Fellowships
- Shaka Kachi RISE PROJECT (SMFG)2026–2030
- MATS Fellowship, Redwood Research streamAutumn 2026
- ANRI Fellowship2025–2026
- Advanced AI Talent Development (BOOST NAIS)2024–2027
- JSPS Research Fellowships for Young Scientists (DC2)2025–2027
- SPRING GX2024–2027
- MITOU Program (Exploratory IT Human Resources Project)2023–2024
- KAKUSEI Project Deep Tech Talent Development Program2023–2024
Awards & Honors
- SAC Highlight Award. ACL 2026.2026
- Outstanding Achievement Award (Ha). AIST KAKUSEI Project.2025
- Best Paper Award. LREC-COLING. (1/1554; 0.06%)2024
- MITOU IT Super Creator. METI.2024
- Committee Special Award. NLP Annual Meeting. (26/576=4.5%)2025
- Winner. Sports Data Science Competition Soccer Division.2025
- Runner-up. Sports Data Science Competition Soccer Division.2024
- Fujitsu Award. NLP Annual Meeting. (14/576=2.4%)2024
- Excellence Award. Sports Data Science Competition Soccer Division.2023
- Demo Day Award. Todai to Texas Program.2023
- Student Incentive Award. JSAI Annual Conference.2023
Teaching
- Teaching Assistant. Applied Natural Language Processing (Graduate School of Information Science and Technology, The University of Tokyo).Fall 2024
- Teaching Assistant. Introduction to Linguistics (College of Arts and Sciences, The University of Tokyo).Spring 2022
Invited Talks
- Language in Humans and Machines: Insights from Linguistic and Information-Theoretic Approaches. UCI Language Processing Group. Mar 2026.
- Information-Theoretic Analysis of Inductive Bias and Pre-pretraining. Boston University tinlab Reading Group. Apr 2026.
- Targeted Syntactic Evaluation on the Chomsky Hierarchy. NLP Colloquium. Aug 2024.
- JBLiMP: A Japanese Dataset for Syntactic Evaluation of Language Models. Workshop "Building Evaluation Datasets for Japanese and Improving Their Usability", National Institute for Japanese Language and Linguistics (NINJAL). 2022.
Reviewer
- ACL Rolling Review. Reviewer. 2025-Present.
- Workshop on Cognitive Modeling and Computational Linguistics. Reviewer. 2025
- International Joint Conference on Artificial Intelligence (IJCAI). Reviewer. 2024
- International Natural Language Generation Conference (INLG). Reviewer. 2024
Other Projects
- Multi-Person 3D Pose Tracking with Stereo Fisheye Cameras in Outdoor EnvironmentsMay 2023 – Feb 2024
MITOU Program (Project Grant, Advisor: Yuki Igarashi)
Designed a multi-person 3D pose tracking system for soccer players using stereo fisheye cameras mounted on goalposts in uncontrolled outdoor environments. Developed algorithms for fisheye-based 3D reconstruction, data-extraction pipelines using YOLO and Human4D, stereo calibration from ground features, and an automated video-upload system on Raspberry Pi 5.
- Quantitative Player Evaluation in Football via Reinforcement Learning
Built full-team, quantitative player-evaluation metrics for football by estimating action-selection and state-transition probabilities from tracking data and recovering players' latent reward and intent functions via inverse and multi-agent reinforcement learning, including policy-gradient inverse RL and equilibrium-based multi-agent RL under Markov perfect equilibrium. Awarded the Best Prize in the Soccer Division of the 2025 Sports Data Science Competition.