Ryo YOSHIDA

Profile Information

Affiliation

Professor (Director), The Institute of Statistical Mathematics, Research Organization of Information and Systems

Degree

Ph.D.(Sep, 2004, The Graduate University for Advanced Studies)

Researcher number

70401263

ORCID iD

https://orcid.org/0000-0001-8092-0162

J-GLOBAL ID

201401028513268700

researchmap Member ID

7000007124

External link

http://spacier.ism.ac.jp/en/

Research Interests

• Material Property Database
• Quasicrystal
• Polymeric Materials
• Bayesian inference
• Bioinformatics
• Materials Informatics
• Machine Learning

Research Areas

• Nanotechnology/Materials / Inorganic compounds/materials chemistry /
• Nanotechnology/Materials / Polymer chemistry /
• Informatics / Intelligent informatics /
• Informatics / Statistical science /

Research History

• May, 2025 - Present

  Team Director, Polymeromics Team, RIKEN TRIP
• May, 2025 - Present

  Project Leader, RIKEN TRIP
• Apr, 2025 - Present

  The Institute of Statistical Mathematics, Research Organization of Information and Systems
• Mar, 2024 - Present

  Director, Research Center for Materials Informatics, The Institute of Statistical Mathematics, Research Organzation of Information and Systems
• Aug, 2023 - Present

  Executive Technical Fellow, Material Infinity Inc.
• Apr, 2023 - Present

  Professor, Graduate Institute for Advanced Studies, Statistical Science Program, The Graduate University for Advanced Studies
• Apr, 2018 - Present

  Visiting Professor, Nagoya University Graduate School of Medicine
• Apr, 2018 - Present

  Professor, The Institute of Statistical Mathematics, Research Organization of Information and Systems
• Oct, 2015 - Present

  Visiting Research Fellow, National Institute for Materials Science
• Jul, 2017 - Feb, 2024

  Director, Data Science Center for Creative Design and Manufacturing, The Institute of Statistical Mathematics, Research Organization of Information and Systems
• Apr, 2018 - Mar, 2023

  Professor, School of Multidisciplinary Sciences, Department of Statistical Science, The Graduate University for Advanced Studies
• Apr, 2011 - Mar, 2018

  Associate Professor, School of Multidisciplinary Sciences, Department of Statistical Science, The Graduate University for Advanced Studies
• Apr, 2011 - Mar, 2018

  Associate Professor, The Institute of Statistical Mathematics, Research Organization of Information and Systems
• Apr, 2007 - Mar, 2011

  Assistant Professor, School of Multidisciplinary Sciences, Department of Statistical Science, The Graduate University for Advanced Studies
• Apr, 2007 - Mar, 2011

  Assistant Professor, The Institute of Statistical Mathematics, Research Organization of Information and Systems
• Aug, 2005 - Mar, 2007

  Project Assistant Professor, The Institute of Medical Science, Human Genome Center, The University of Tokyo
• Apr, 2005 - Aug, 2005

  Researcher, The Institute of Medical Science, Human Genome Center, The University of Tokyo
• Oct, 2004 - Mar, 2005

  Researcher, The Institute of Statistical Mathematics, Research Organization of Information and Systems

Committee Memberships

• Oct, 2023 - Present

  Director, RadonPy consortium
• Oct, 2023 - Present

  領域アドバイザー, JST ACT-X「トランススケールな理解で切り拓く革新的マテリアル」
• Apr, 2022 - Present

  データ創出・活用型マテリアル研究開発プロジェクト プログラム運営委員会 専門委員, 文部科学省
• Apr, 2021 - Present

  アドバイザー, JST-CREST「データ駆動・AI駆動を中心としたデジタルトランスフォーメーションによる生命科学研究の革新」バイオDX領域
• Apr, 2021 - Mar, 2022

  委員, 文部科学省「次世代計算基盤に係るシステム検討ワーキンググループ」
• Apr, 2020 - Mar, 2022

  アドバイザー, 経済産業省「マテリアルズインフォマティクス特許データベース検討会」
• Apr, 2020

  「アプリケーションソフトウェア利用環境整備」アドバイザー, 高度情報科学技術研究機構(RIST)
• Apr, 2019 - Mar, 2020

  将来のHPCIの在り方に関する検討WG 委員, 文部科学省
• Apr, 2016 - Mar, 2020

  幹事, JSTイノベーションハブ構築支援事業 MI2I コンソーシアム

Awards

• May, 2023

  Editor’s selection, A Bayesian method for concurrently designing molecules and synthetic reaction networks, Science and Technology of Advanced Materials: Methods

  Zhang, Q., Liu, C., Wu, S., Hayashi, Y., Yoshida, R.
• Dec, 2021

  優秀発表賞, ベイズ推論を用いた高潜熱蓄冷材向け分子探索, 第44回 ケモインフォマティクス討論会

  外海駿輔, 榊原功次, 板倉智也, Stephen Wu, 吉田 亮
• Sep, 2017

  研究奨励賞, Inverse prediction for transcription elongation rates with total RNA sequencing, 第6回生命医薬情報学連合大会(IIBMP 2017,主催:日本バイオインフォマティクス学会)

  河村優美, 小山慎介, 吉田亮
• Oct, 2016

  研究奨励賞, Bayesian design of bioactive molecules with a chemical language model, 第5回生命医薬情報学連合大会(IIBMP 2016,主催:日本バイオインフォマティクス学会)

  Ikebata, H, Yoshida, R
• Oct, 2016

  研究奨励賞, Whole brain imaging of Caenorhabditis elegans ×ばつ machine learning, 第5回生命医薬情報学連合大会(IIBMP 2016,主催:日本バイオインフォマティクス学会)

  Wu, S, Yoshida, R
• Dec, 2008

  Finalist Best Paper Award, Predicting differences in gene regulatory systems by state space models, The 19th International Conference on Genome Informatics (GIW2008)

  R. Yamaguchi, S. Imoto, M. Yamauchi, M. Nagasaki, R. Yoshida, T. Shimamura, Y. Hatanaka, K. Ueno, T. Higuchi, N. Gotoh, S. Miyano

Papers

• Machine Learning for Polymer Chemical Resistance to Organic Solvents

  Shogo Kunieda, Mitsuru Yambe, Hiromori Murashima, Takeru Nakamura, Toshiaki Shintani, Hitoshi Kamijima, Yoshihiro Hayashi, Yosuke Hanawa, Ryo Yoshida

  arXiv, Sep, 2025 Last author
• Discovery of liquid crystalline polymers with high thermal conductivity using machine learning

  Hayato Maeda, Stephen Wu, Rika Marui, Erina Yoshida, Kan Hatakeyama-Sato, Yuta Nabae, Shiori Nakagawa, Meguya Ryu, Ryohei Ishige, Yoh Noguchi …

  npj Computational Materials, 11(1), Jul 2, 2025 Peer-reviewedCorresponding author
• Scaling law of Sim2Real transfer learning in expanding computational materials databases for real-world predictions

  Shunya Minami, Yoshihiro Hayashi, Stephen Wu, Kenji Fukumizu, Hiroki Sugisawa, Masashi Ishii, Isao Kuwajima, Kazuya Shiratori, Ryo Yoshida

  npj Computational Materials, 11(1), May 24, 2025 Peer-reviewedLast authorCorresponding author
• Bayesian Kernel Regression for Functional Data

  Minoru Kusaba, Megumi Iwayama, Ryo Yoshida

  arXiv, Apr, 2025 Last author
• Database and deep-learning scalability of anharmonic phonon properties by automated brute-force first-principles calculations

  Masato Ohnishi, Tianqi Deng, Pol Torres, Zhihao Xu, Terumasa Tadano, Haoming Zhang, Wei Nong, Masatoshi Hanai, Zhiting Tian, Ming Hu …

  arXiv, Apr, 2025
• Advancing extrapolative predictions of material properties through learning to learn using extrapolative episodic training

  Kohei Noda, Araki Wakiuchi, Yoshihiro Hayashi, Ryo Yoshida

  Communications Materials, 6(1), Feb 22, 2025 Peer-reviewedLast authorCorresponding author
• Smectic liquid crystalline poly(ester imide)s with low dielectric dissipation factors for high-frequency applications

  Hayato Maeda, Yucheng Liang, Ryohei Hosoya, Rika Marui, Erina Yoshida, Yuqian Chen, Kan Hatakeyama-Sato, Yuta Nabae, Shiori Nakagawa, Junko Morikawa …

  Polymer Journal, 57(6) 665-677, Feb 14, 2025 Peer-reviewed
• SPACIER: on-demand polymer design with fully automated all-atom classical molecular dynamics integrated into machine learning pipelines

  Shun Nanjo, Arifin, Hayato Maeda, Yoshihiro Hayashi, Kan Hatakeyama-Sato, Ryoji Himeno, Teruaki Hayakawa, Ryo Yoshida

  npj Computational Materials, 11(1), Jan 28, 2025 Peer-reviewedLast authorCorresponding author
• Shotgun crystal structure prediction using machine-learned formation energies

  Chang Liu, Hiromasa Tamaki, Tomoyasu Yokoyama, Kensuke Wakasugi, Satoshi Yotsuhashi, Minoru Kusaba, Artem R. Oganov, Ryo Yoshida

  npj Computational Materials, 10(1), Dec 20, 2024 Peer-reviewedLast authorCorresponding author
• Industry-Academia Co-creation of a Polymer Computational Properties Database and Sim2Real Materials Informatics

  Ryo Yoshida

  Seikei-Kakou, 36(12) 502-505, Nov 20, 2024 InvitedLead authorLast authorCorresponding author
• Comprehensive experimental datasets of quasicrystals and their approximants

  Erina Fujita, Chang Liu, Asuka Ishikawa, Tomoya Mato, Koichi Kitahara, Ryuji Tamura, Kaoru Kimura, Ryo Yoshida, Yukari Katsura

  Scientific Data, 11(1), Nov 13, 2024 Peer-reviewedCorresponding author
• Materials Informatics with Limited Data

  Ryo Yoshida

  Drug Development Supported by Informatics, 61-86, Oct 19, 2024 InvitedLead authorLast authorCorresponding author
• Discovery of liquid crystalline polymers with high thermal conductivity using machine learning

  Hayato Maeda, Stephen Wu, Rika Marui, Erina Yoshida, Kan Hatakeyama-Sato, Yuta Nabae, Shiori Nakagawa, Meguya Ryu, Ryohei Ishige, Yoh Noguchi …

  ChemRxiv, Aug 12, 2024 Corresponding author
• Advancing extrapolative predictions of material properties through learning to learn

  Kohei Noda, Araki Wakiuchi, Yoshihiro Hayashi, Ryo Yoshida

  Aug, 2024 Last authorCorresponding author
• Scaling Law of Sim2Real Transfer Learning in Expanding Computational Materials Databases for Real-World Predictions

  Shunya Minami, Yoshihiro Hayashi, Stephen Wu, Kenji Fukumizu, Hiroki Sugisawa, Masashi Ishii, Isao Kuwajima, Kazuya Shiratori, Ryo Yoshida

  Aug, 2024 Last authorCorresponding author
• SPACIER: On-Demand Polymer Design with Fully Automated All-Atom Classical Molecular Dynamics Integrated into Machine Learning Pipelines

  Shun Nanjo, Arifin, Hayato Maeda, Yoshihiro Hayashi, Kan Hatakeyama-Sato, Ryoji Himeno, Teruaki Hayakawa, Ryo Yoshida

  arXiv, Aug, 2024 Last authorCorresponding author
• Machine learning-based prediction of the electron energy distribution function and electron density of argon plasma from the optical emission spectra

  Fatima Jenina Arellano, Minoru Kusaba, Stephen Wu, Ryo Yoshida, Zoltán Donkó, Peter Hartmann, Tsanko V. Tsankov, Satoshi Hamaguchi

  Journal of Vacuum Science & Technology A, 42(5), Jul 11, 2024 Peer-reviewed
• Transfer learning with affine model transformation

  Shunya Minami, Kenji Fukumizu, Yoshihiro Hayashi, Ryo Yoshida

  Advance in Neural Information Processing Systems (NeurIPS), 10(1) 298, 2024 Peer-reviewedLast authorCorresponding author
• Deep learning enables rapid identification of a new quasicrystal from multiphase powder diffraction patterns

  Hirotaka Uryu, Tsunetomo Yamada, Koichi Kitahara, Alok Singh, Yutaka Iwasaki, Kaoru Kimura, Naoki Miyao, Asuka Ishikawa, Ryuji Tamura, Satoshi Ohhashi …

  Advanced Science, 11(1) 2304546, 2024 Peer-reviewedLast author
• Representation of materials by kernel mean embedding

  Minoru Kusaba, Yoshihiro Hayashi, Chang Liu, Araki Wakiuchi, Ryo Yoshida

  Physical Review B, 108(13), Oct 16, 2023 Peer-reviewedLast authorCorresponding author

Misc.

• SMiPoly: Generation of Synthesizable Polymer Virtual Library using Rule-based Polymerization Reactions

  Ohno M, Hayashi Y, Zhang Q, Kaneko Y, Yoshida R

  ChemRxiv, Mar, 2023 Last authorCorresponding author
• Deducing ensemble dynamics and information flow from the whole-brain imaging data

  Yu Toyoshima, Hirofumi Sato, Daiki Nagata, Manami Kanamori, Moon Sun Jang, Koyo Kuze, Suzu Oe, Takayuki Teramoto, Yuishi Iwasaki, Ryo Yoshida …

  bioRxiv, Nov 18, 2022
• Transfer learning with affine model transformation

  Shunya Minami, Kenji Fukumizu, Yoshihiro Hayashi, Ryo Yoshida

  arXiv preprint, abs/2210.09745, Oct, 2022 Last author
• Functional Output Regression for Machine Learning in Materials Science

  Megumi Iwayama, Stephen Wu, Chang Liu, Ryo Yoshida

  ChemRxiv, May 16, 2022 Last authorCorresponding author
• RadonPy: Automated Physical Property Calculation using All-atom Classical Molecular Dynamics Simulations for Polymer Informatics

  Yoshihiro Hayashi, Junichiro Shiomi, Junko Morikawa, Ryo Yoshida

  arXiv preprint, Mar, 2022 Last authorCorresponding author
• Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks

  Qi Zhang, Chang Liu, Stephen Wu, Ryo Yoshida

  arXiv preprint, Mar, 2022 Last authorCorresponding author
• Crystal structure prediction with machine learning-based element substitution

  Minoru Kusaba, Chang Liu, Ryo Yoshida

  arXiv preprint, Jan, 2022 Last authorCorresponding author
• Machine learning-assisted exploration of thermally conductive polymers based on high-throughput molecular dynamics simulations

  Ruimin Ma, Hanfeng Zhang, Jiaxin Xu, Yoshihiro Hayashi, Ryo Yoshida, Junichiro Shiomi, Tengfei Luo

  arXiv preprint, Sep, 2021
• Machine learning to predict quasicrystals from chemical compositions

  Chang Liu, Erina Fujita, Yukari Katsura, Yuki Inada, Asuka Ishikawa, Ryuji Tamura, Kaoru Kimura, Ryo Yoshida

  Feb 17, 2021 Last authorCorresponding author
• Exploring diamond-like lattice thermal conductivity crystals via feature-based transfer learning

  Shenghong Ju, Ryo Yoshida, Chang Liu, Kenta Hongo, Terumasa Tadano, Junichiro Shiomi

  arXiv preprint, Oct, 2020
• Potentials and challenges of polymer informatics: exploiting machine learning for polymer design

  Stephen Wu, Hironao Yamada, Yoshihiro Hayashi, Massimiliano Zamengo, Ryo Yoshida

  arXiv preprint, Oct, 2020 Last author
• A General Class of Transfer Learning Regression without Implementation Cost

  Shunya Minami, Song Liu, Stephen Wu, Kenji Fukumizu, Ryo Yoshida

  arXiv preprint, 8992-8999, Jun, 2020 Last authorCorresponding author
• A Bayesian algorithm for retrosynthesis

  Zhongliang Guo, Stephen Wu, Mitsuru Ohno, Ryo Yoshida

  arXiv preprint, Mar, 2020 Last authorCorresponding author
• Exploring of organic molecules using machine learning and quantum chemical calculation

  Yamada Hironao, Stephen Wu, Liu Chang, Noguchi Yoh, Yoshida Ryo

  Meeting Abstracts of the Physical Society of Japan, 75.1(1) 2625-2625, 2020
• Recreation of the Periodic Table with an Unsupervised Machine Learning Algorithm

  Minoru Kusaba, Chang Liu, Yukinori Koyama, Kiyoyuki Terakura, Ryo Yoshida

  arXiv preprint, Dec, 2019 Last authorCorresponding author
• An annotation dataset facilitates automatic annotation of whole-brain activity imaging ofC. elegans

  Yu Toyoshima, Stephen Wu, Manami Kanamori, Hirofumi Sato, Moon Sun Jang, Suzu Oe, Yuko Murakami, Takayuki Teramoto, ChanHyun Park, Yuishi Iwasaki …

  bioRxiv, Jul 10, 2019
• Exploring of molecules using bayesian inference and quantum chemical calculation

  Yamada Hironao, Stephen Wu, Liu Chang, Noguchi Yoh, Yoshida Ryo

  Meeting Abstracts of the Physical Society of Japan, 74.2(2) 2722-2722, 2019
• Elevated β-catenin pathway as a novel target for patients with resistance to EGF receptor targeting drugs

  Nakata Asuka, Kimura Tatsuo, Nokihara Hiroshi, Higashiyama Masahiko, Kondoh Kazuya, Nishihara Hiroshi, Tojo Arinobu, Yano Seiji, Miyano Satoru, Gotoh Noriko …

  Japan Journal of Molecular Tumor Marker Research, 31 46-47, 2015
• 3次元動画像内の非常に多数の細胞領域を自動追跡するための粒子フィルタ手法の開発

  HIROSE OSAMU, KAWAGUCHI SHOTARO, TOKUNAGA TERUMASA, TOYOSHIMA YU, TERAMOTO TAKAYUKI, SATO KENJI, IKEBATA HISAKI, SATO HIROFUMI, KUGE SAYURI, ISHIHARA TAKESHI …

  人工知能学会全国大会論文集(CD-ROM), 28th ROMBUNNO.2C3-2IN-2C32in, May, 2014
• EGF receptor tyrosine kinase defines critical prognostic genes of stage IA lung adenocarcinoma

  Asuka Nakata, Mai Yamauchi, Rui Yamaguchi, Takashi Kohno, Masao Nagasaki, Teppei Shimamura, Seiya Imoto, Ayumu Saito, Kazuko Ueno, Yousuke Hatanaka …

  CANCER RESEARCH, 72, Apr, 2012

Books and Other Publications

• マテリアルズインフォマティクス = Materials informatics

  吉田, 亮, 伊藤, 聡, 劉, 暢, Wu, Stephen, 野口, 瑶, 山田, 寛尚, 赤木, 和人, 大林, 一平, 山下, 智樹 (Role: Joint author)

  共立出版, Aug, 2022 (ISBN: 9784320072022)
• データ同化入門―次世代のシミュレーション技術―

  樋口 知之, 上野 玄太, 中村 和幸, 中野 慎也, 吉田 亮, 統計

  Sep, 2011

Presentations

• Emerging Trends in AI for Chemistry and Its Applications to Analytical Chemistry

  Ryo Yoshida

  The 20th Asia-Pacific International Symposium on Microscale Separations and Analysis (APCE 2025), Sep 18, 2025 Invited
• Sim2Real機械学習のスケーリング則に基づく情報計測の新展開:材料研究への応用を中心に

  吉田亮

  計測インフォマティクスシンポジウム, Sep 11, 2025 Invited
• Omics-scale simulation database transferable to real-world artificial intelligence applications

  Ryo Yoshida

  The 44th International Conference on Simulation Technology (JSST 2025), Sep 2, 2025 Invited
• データサイエンスで新物質を予測・発見する

  吉田亮

  成蹊大学 Society 5.0研究所 三菱寄附講座「共生社会トピックス データサイエンスの最前線」, Sep 1, 2025 Invited
• Sim2Real機械学習に基づく情報計測の新展開:材料研究への応用を中心に

  吉田亮

  情報計測オンラインセミナーシリーズ ×ばつ計測科学の高度融合による新展開-, Aug 23, 2025 Invited
• Foundational Computational Polymer Properties Database Bridging to Real-World AI Applications

  Ryo Yoshida

  AI4X, Jul 11, 2025 Invited
• Sim2Real Machine Learning in Data-Driven Materials Research

  Ryo Yoshdia

  ISI-ISM-ISSAS 2025 Joint Conference, Mar, 2025 Invited
• 高分子材料データベースPoLyInfoと外部データベースの統合解析

  吉田亮

  NIMSデータ中核拠点 (MDPF) 技術開発・共用部門オープンセミナー, Feb, 2025 Invited
• Sim2Real機械学習による未踏物質空間の開拓

  吉田亮

  東京科学大学 物質・情報卓越教育院「新産業創出最前線」, Jan, 2025 Invited
• データ駆動型材料研究におけるデータ基盤の在り方:AI活用の視点から

  吉田亮

  マテリアル戦略総合シンポジウム2025 (MatISS 2025), Jan, 2025 Invited
• Conformal Predictionとベイズ最適化

  南條 舜, 吉田 亮

  第55回 IBISML研究会, Dec, 2024
• Scalability of Growing Computational Database in Sim2Real Materials Informatics

  Ryo Yoshida

  The 15th International Symposium on Atomic Level Characterizations for New Materials and Devices 2024 (ALC 2024), Nov, 2024 Invited
• 高分子物性自動計算ソフトウェアRadonPyとSIM2REAL転移学習のスケーリング則

  吉田亮

  第18回材料系ワークショップ 〜次世代技術が拓く物質・材料開発の未来:演算加速器・生成AI・量子コンピュータ〜, Oct, 2024 Invited
• マテリアルサイエンスを次世代技術でどう進化させるか

  吉田亮

  第18回材料系ワークショップ 〜次世代技術が拓く物質・材料開発の未来:演算加速器・生成AI・量子コンピュータ〜, Oct, 2024 Invited
• 産学連携コンソーシアムによるSim2Realマテリアルズインフォマティクス基盤の共同開発",

  林 慶浩, 篠田 恵子, 南條 舜, 野口 瑶, 髙橋 愛子, ウ ステファン, 吉田 亮

  第73回高分子討論会, Sep, 2024
• SIM2REAL マテリアルズインフォマティクス:限られたデータの壁を乗り越える

  吉田亮

  一般社団法人ゲノムテクノロジー研究会 第8回バイオインフォマティクス分科会「データサイエンス」, Sep, 2024 Invited
• 高分子材料におけるSim2Real転移学習とスケーリング則の観測

  林 慶浩, 南 俊匠, 南條 舜, 髙橋 愛子, 吉田 亮

  2024年度統計関連学会連合大会, Sep, 2024
• Transferability and Scalability of Growing Computational Database in Sim2Real Materials Informatics

  Ryo Yoshida

  Materials Informatics: Accelerating Materials Research and Design with Artificial Intelligence, Aug, 2024 Invited
• Co-creation of polymer properties database through industry-academia collaboration and SIM2REAL materials informatics

  Ryo Yoshida

  Next-Generation Electronic Materials & Advanced Thermal Management Technologies, Jun, 2024 Invited
• マテリアルズインフォマティクスの現状と展望

  吉田亮

  統計数理研究所 産学連携シンポジウム「統計数理を活用して未踏物質空間を切り拓く」, May, 2024

Teaching Experience

• Apr, 2020 - Present

  Applied Data Science (The Graduate University for Advanced Studies)
• Apr, 2020 - Present

  統計的機械学習基礎 (総合研究大学院大学)

Professional Memberships

• The Society of Polymer Science, Japan
• Japanese Society for Bioinformatics
• The Japan Statistical Society

Works

• RadonPy: Automated Physical Property Calculation using All-atom Classical Molecular Dynamics Simulations for Polymer Informatics

  Mar, 2022 - Present Software
• XenonPy: Python library for materials informatics

  - Present Software
• 準結晶組成予測 TSAI

  Software
• ShotgunCSP

  Software
• HYPOD-X

  Database
• SMiPoly

  Software
• アフィン転移学習

  Software
• 結晶構造予測プログラムCSPML

  Software
• 関数出力変数カーネル回帰

  Software
• 分子・合成経路自動設計アルゴリズム Seq-Stack-Reaction

  Software

Research Projects

• Advancing data-driven materials science through SIM2REAL machine learning

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (A), Japan Society for the Promotion of Science, Apr, 2025 - Mar, 2030
• 分子・情報技術の創発による液相分離の限界突破と社会実装

  戦略的創造研究推進事業 CREST, Oct, 2023 - Mar, 2029

  久保拓也
• フェイゾンエンジニアリング:構造タイル組み換えに基づく新物質創製

  戦略的創造研究推進事業 CREST, Oct, 2022 - Mar, 2028

  田村隆治
• データ駆動型高分子材料研究を変革するデータ基盤創出

  「富岳」成果創出加速プログラム, 文部科学省, Sep, 2021 - Mar, 2026

  吉田亮
• Hypermaterials: Inovation of materials science in hyper space

  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area), Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area), Japan Society for the Promotion of Science, Jun, 2019 - Mar, 2024
• Hypermaterials informatics and the search for hidden orders

  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area), Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area), Japan Society for the Promotion of Science, Jun, 2019 - Mar, 2024
• Discovery of innovative functional materials using state-of-the-art machine learning

  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A), Grant-in-Aid for Scientific Research (A), Japan Society for the Promotion of Science, Apr, 2019 - Mar, 2024
• 高分子の熱物性マテリアルズインフォマティクス

  戦略的な研究開発の推進 戦略的創造研究推進事業 CREST, 科学技術振興機構, 2019 - 2024

  森川 淳子
• -

  Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Research (Exploratory), Grant-in-Aid for Challenging Research (Exploratory), Japan Society for the Promotion of Science, Jul, 2021 - Mar, 2023
• 深層学習・転移学習等の適用による材料設計技術の高度化

  超先端材料超高速開発基盤技術プロジェクト, NEDO 国立研究開発法人 新エネルギー・産業技術総合開発機構, Apr, 2020 - Mar, 2022
• 情報統合型物質・材料開発イニシアティブ(MI2I)

  JSTイノベーションハブ構築支援事業, 国立研究開発法人 科学技術振興機構, Jun, 2015 - Mar, 2020
• Data-driven predictive approach for designing drug molecules with Bayesian statistics and quantum chemistry

  Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2015 - Mar, 2019

  Yoshida Ryo
• 佐藤ライブ予測制御プロジェクト

  JST ERATO, Apr, 2014 - Mar, 2019

  佐藤 匠徳, 国際電気通信基礎技術研究所
• Automatic tracking of multiple cell regions in 4D live-cell imaging data

  Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B), Grant-in-Aid for Young Scientists (B), Japan Society for the Promotion of Science, Apr, 2015 - Mar, 2018

  Hirose Osamu, Kawaguchi Shotaro, Tokunaga Terumasa, Yoshida Ryo, Toyoshima Yu, Teramoto Takayuki, Kuge Sayuri, Ishihara Takeshi, Iino Yuichi
• 神経系まるごとの観測データに基づく神経回路の動作特性の解明

  JST CREST, Oct, 2012 - Mar, 2018

  飯野 雄一
• 神経系まるごとの観測データに基づく神経回路の動作特性の解明

  JST CREST, Oct, 2012 - Mar, 2018

  飯野 雄一, 東京大学大学院理学系研究科生物化学専攻
• 神経系まるごとの観測データに基づく神経回路の動作特性の解明

  戦略的な研究開発の推進 戦略的創造研究推進事業 CREST, 2012 - 2018

  飯野 雄一
• Inverse analysis of transcription elongation process using Bayesian Inference

  Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Exploratory Research, Grant-in-Aid for Challenging Exploratory Research, Japan Society for the Promotion of Science, Apr, 2015 - Mar, 2017

  Yoshida Ryo, KAWAOKA SHINPEI, SHINSUKE KOYAMA
• Development of diagnostic system of mutations in breast cancer by using primary spheroid cells derived from patients

  Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Exploratory Research, Grant-in-Aid for Challenging Exploratory Research, Japan Society for the Promotion of Science, Apr, 2014 - Mar, 2016

  Gotoh Noriko, NAKATA Asuka, SUZUKI Yutaka, YOSHIDA Ryo, TOJO Arinobu, OGAWA Toshihisa, INOKUCHI Masashi
• Developing the methodology of meta-analysis from a unified perspective

  Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science, Apr, 2012 - Mar, 2016

  Henmi Masayuki, YOSHIDA Ryo, YAMASHITA Okito, TAKENOUCHI Takashi, KAWAKITA Masanori, COPAS John, YONEOKA Daisuke

Academic Activities

• 日本化学会春年会 ×ばつ自動実験による化学研究のデジタル革新」

  Planning, management, etc., Panel moderator, session chair, etc.

  Mar 26, 2025
• 統計数理研究所産学連携シンポジウム「統計数理を活用して未踏物質空間を切り拓く」

  Planning, management, etc., Panel moderator, session chair, etc.

  May 23, 2024
• 統計数理研究所ものづくりデータ科学研究センター感謝祭 「SIM2REALマテリアルズインフォマティクス」

  Planning, management, etc., Panel moderator, session chair, etc.

  Mar 28, 2024
• International Conference on Data Driven Plasma Sciences (ICDDPS-4, ICDDPS-5)

  Planning, management, etc.

  2023 - 2024
• シンポジウム「データ駆動型高分子材料研究の最前線」

  Planning, management, etc., Panel moderator, session chair, etc.

  Mar 28, 2023
• 2021年度統計関連学会連合大会 企画セッション「設計と製造のデータ科学:産学の最前線」

  Planning, management, etc., Panel moderator, session chair, etc.

  Sep, 2022
• Aperiodic 2022 (10th International Conference on Aperiodic Crystals)

  Planning, management, etc.

  Jun 20, 2022 - Jun 24, 2022
• 2022年度人工知能学会全国大会 オーガナイズドセッション「シミュレーションとAI」

  Planning, management, etc.

  Jun 14, 2022
• 「富岳」成果創出加速プログラム「データ駆動型高分子材料研究を変革するデータ基盤創出」公開セミナー

  Planning, management, etc., Panel moderator, session chair, etc.

  Mar 31, 2022
• 「富岳」成果創出加速プログラム「データ駆動型高分子材料研究を変革するデータ基盤創出」公開セミナー(第5回マテリアルズインフォマティクスセミナー)

  Planning, management, etc., Panel moderator, session chair, etc.

  吉田亮, Mar, 2022
• 第4回マテリアルズインフォマティクスセミナー(統計数理研究所ものづくりデータ科学研究センター)

  Planning, management, etc., Panel moderator, session chair, etc.

  May, 2021
• 第3回マテリアルズインフォマティクスセミナー

  Planning, management, etc., Panel moderator, session chair, etc.

  Jan, 2021
• 第2回マテリアルズインフォマティクスセミナー(統計数理研究所ものづくりデータ科学研究センター)

  Planning, management, etc., Panel moderator, session chair, etc.

  Nov, 2020
• 第1回マテリアルズインフォマティクスセミナー(統計数理研究所ものづくりデータ科学研究センター)

  Planning, management, etc., Panel moderator, session chair, etc.

  Jul, 2020

Social Activities

• 第7回オンラインサロン スパコンコロキウム「データ科学による新物質の予測と発見」

  Lecturer

  文部科学省委託事業「HPCIの運営」代表機関 高度情報科学技術研究機構, Oct 6, 2022
• 「統計数理 特集:マテリアルズインフォマティクスの最前線」

  Edit, Planner

  Jun, 2021
• 第6回XenonPyハンズオンセミナー(コントリビュータ向けチュートリアル)

  Host, Lecturer, Planner, Performer

  Jan 29, 2021
• BSフジ「ガリレオX」材料開発を加速させる MI

  Guest

  BSフジ, ガリレオX, Apr 20, 2020
• XenonPyハンズオンセミナー

  Lecturer

  YouTube

Media Coverage

• 準結晶分野のデータ駆動型研究を促進する基盤データベース ― HYPOD-X ― を公開

  統計数理研究所プレスリリース, https://www.ism.ac.jp/ura/press/ISM2024-04.html, Nov, 2025 Internet
• 熱伝導率が極めて高い液晶性ポリイミドの合成に成功 -機械学習による効率的な分子設計で高機能材料開発を変革-

  統計数理研究所プレスリリース, https://www.ism.ac.jp/ura/press/ISM2025-05.html, Jul, 2025 Internet
• 材料研究の新展開:大規模計算データベースと実験データをつなぐスケーリング則を発見

  統計数理研究所プレスリリース, https://www.ism.ac.jp/ura/press/ISM2025-03.html, Jun, 2025 Internet
• データの外の世界を予測する方法を学ぶAI技術 〜 データ駆動型材料研究における有効性を実証 〜

  統計数理研究所プレスリリース, https://www.ism.ac.jp/ura/press/ISM2024-07.html, Mar, 2025 Internet
• 結晶学的知識を学習したAI 〜 結晶構造予測タスクで世界最高性能に到達 〜

  統計数理研究所プレスリリース, https://www.ism.ac.jp/ura/press/ISM2024-08.html, Mar, 2025 Internet
• 機械学習と分子シミュレーションを融合

  科学新聞, Feb, 2025 Newspaper, magazine
• 機械学習と分子シミュレーションを融合した高分子材料自動設計ツールSPACIERの開発 ―高性能光学用高分子の発見―

  統計数理研究所プレスリリース, https://www.ism.ac.jp/ura/press/ISM2024-06.html, Jan, 2025 Internet
• 日本统数研与东京理科大等发布准晶体和近似晶体的大规模数据库"HYPOD-X"

  客观日本- 日本信息平台, Dec, 2024 Internet
• 準結晶・近似結晶の大規模データベース 統数研、理科大などの共同研究グループ公開

  科学新聞, Nov, 2024 Newspaper, magazine
• HYPOD-X: Foundation database released to advance data-driven research in the field of quasicrystals

  EurekAlert!, Nov, 2024 Internet
• AI新時代 光と影

  読売新聞朝刊, Nov, 2024 Newspaper, magazine
• 統数研が産学連携シンポジウムを開催

  文教速報, Jun, 2024 Newspaper, magazine
• 不思議な形『準結晶』って何?

  読売新聞夕刊, Apr, 2024 Newspaper, magazine
• 統数研が誤差最小の転移学習手法 対象は元モデル固定の回帰問題

  NIKKEI Robotics, Mar, 2024 Newspaper, magazine
• Tailor-made molecules

  Asia Research News, Feb, 2024 Internet
• 深層学習を活用した粉末X線回折パターンの識別により新たな準結晶を発見 〜多相混合物中の新規準結晶相の存在を検出可能に〜

  統計数理研究所プレスリリース, https://www.ism.ac.jp/ura/press/ISM2023-07.html, Nov, 2023 Internet
• 「日本统计数理研究所、东京理科大学和东京大学利用机器学习发现准晶体」

  客観日本, Nov, 2023 Internet
• Quasicrystals discovered using machine learning algorithm ‘for the first time in 40 years’ — Technology for predicting thermally stable chemical compositions developed by ISM

  Science Japan, Nov, 2023 Internet
• 機械学習アルゴリズムで準結晶発見

  科学新聞, Oct 20, 2023 Newspaper, magazine
• 統計数理研究所、第3の固体「準結晶」 AIで判別

  日本経済新聞, Oct 10, 2023 Newspaper, magazine