CV

Education

Kyoto University — Ph.D. in Informatics (Apr. 2020 - Mar. 2026)
Osaka University — Master of Information Science (Apr. 2018 - Mar. 2020)
Osaka University — Bachelor of Engineering in Computer Science (Apr. 2016 - Mar. 2018)
National Institute of Technology, AKASHI College — Electrical and Computer Engineering (Apr. 2011 - Mar. 2016)

Chiba University, Synergy Institute for Mucosal Vaccine Research and Development (cSIMVa) — Specially Appointed Assistant Professor (Aug. 2024 - Present)
Epistra Inc. — Research Engineer (Mar. 2024 - Present)
Kyoto University — Teaching Assistant, Programming Exercise (Apr. 2020 - Aug. 2021)
NICT — Collaborative Researcher (Apr. 2019 - Mar. 2020)
Osaka University — Teaching Assistant, Programming A (Apr. 2019 - Aug. 2019)
PLEN Project Company Inc. — Part Time Engineer (Apr. 2016 - Mar. 2018)
OPTiM Corporation — Part Time Engineer (Nov. 2014 - Dec. 2015)

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)