Tsuyoshi Tatsukawa / 立川剛至

Education

Apr. 2020 - Mar. 2026

Kyoto University — Ph.D. in Informatics
Apr. 2018 - Mar. 2020

Osaka University — Master of Information Science
Apr. 2016 - Mar. 2018

Osaka University — Bachelor of Engineering in Computer Science
Apr. 2011 - Mar. 2016

National Institute of Technology, AKASHI College — Electrical and Computer Engineering

Aug. 2024 - Present

Chiba University, Synergy Institute for Mucosal Vaccine Research and Development (cSIMVa) — Specially Appointed Assistant Professor
Mar. 2024 - Present

Epistra Inc. — Research Engineer
Apr. 2020 - Aug. 2021

Kyoto University — Teaching Assistant, Programming Exercise
Apr. 2019 - Mar. 2020

NICT — Collaborative Researcher
Apr. 2019 - Aug. 2019

Osaka University — Teaching Assistant, Programming A
Apr. 2016 - Mar. 2018

PLEN Project Company Inc. — Part Time Engineer
Nov. 2014 - Dec. 2015

OPTiM Corporation — Part Time Engineer

Shunsuke Nishimori, Himomi Nakata, Tsuyoshi Tatsukawa, Sachiyo Aburatani, Taku Tsuzuki, Daisuke Kiga, "Uncertainty-Driven Experiment Design in Cell-Free Protein Synthesis with Bayesian Optimization", ACS Synthetic Biology, 2026.
Kyogo S. Kobayashi, Ren Sogabe, Tsuyoshi Tatsukawa, Jun-nosuke Teramae, Naoki Matsuo, "Neural substrate of conditioned stimulus for associative learning in the hippocampus", Proceedings of the National Academy of Sciences, 123(2), e2519161123, 2026.
Tsuyoshi Tatsukawa, Jun-nosuke Teramae, "The cortical critical power law balances energy and information in an optimal fashion", Proceedings of the National Academy of Sciences, 122(21), e2418218122, 2025.
Takanori Kawabata, Taku Tsuzuki, Tsuyoshi Tatsukawa, Kota Matsui, Eiryo Kawakami, "Black-box optimization in immunology and beyond: A practical guide to algorithms and future directions", Allergology International, 74(4), 549–562, 2025.
Ryosuke Yoneda, Tsuyoshi Tatsukawa, Jun-nosuke Teramae, "The lower bound of the network connectivity guaranteeing in-phase synchronization", Chaos: An Interdisciplinary Journal of Nonlinear Science, 31(6), 2021.

川端孝典, 藤橋浩太郎, 中橋理佳, 山野上朋之, 町田智紀, 都築拓, 立川剛至, 川上英良, "AI を用いたワクチンの最適化とプロセス中の免疫学的示唆", 人工知能学会全国大会論文集第 39 回, 2025.
Kiri Nakata, Tsuyoshi Tatsukawa, Ismail Arai, "A tree style visualization method for cell divisions of embryos", SIGGRAPH Asia 2015 Visualization in High Performance Computing, 2015.

Tsuyoshi Tatsukawa, Jun-nosuke Teramae, "Optimality of Power-Law Coding in Cerebral Cortex Based on Information-Theoretic Analysis", The Physical Society of Japan Annual Meeting, Mar. 2023.
Tsuyoshi Tatsukawa, Jun-nosuke Teramae, "Learnability and Generalization Performance of Neural Networks Following Power Laws", The Physical Society of Japan Annual Meeting, Mar. 2021.
Yuya Goto, Tsuyoshi Tatsukawa, Jun-nosuke Teramae, "Power-Law Representations and Learning Rules in Artificial Neural Networks", The Physical Society of Japan Annual Meeting, Mar. 2021.
Ryosuke Yoneda, Tsuyoshi Tatsukawa, Jun-nosuke Teramae, "Search for Dense Networks with Stable Equilibria Other Than Complete Synchronization in Coupled Oscillator Systems", The Physical Society of Japan Annual Meeting, Mar. 2021.
Tsuyoshi Tatsukawa, Jun-nosuke Teramae, "Examination of Encoding with Power-Law Structure in Neural Populations", NIPS Research Meeting: Understanding Brain/Neural Circuits from the Perspective of Dynamical Systems (2nd), Nov. 2020.
Tsuyoshi Tatsukawa, Jun-nosuke Teramae, Naoki Wakamiya, "Validity of the Flat Minima Approach to Understand Generalization of Deep Learning", The 1st International Symposium on Symbolic Intelligent Systems, Jan. 2019. (Poster)