Curriculum Vitae

[English   Japanese]

Personal Details:

Name:Yoshihiro Yamanishi
Status:Male
Date of Birth:October 6, 1976
Nationality:Japan

Affiliation (2023.4 - present):

Affiliation   Department of Complex Systems Science,
Graduate School of Informatics,
Nagoya University
Address Chikusa, Nagoya 464-8602, JAPAN
Tel +81-52-789-5638
Fax +81-52-789-xxxx
Physical office Informatics Research Building, Room 808
Building map A4③ in the Campus map
E-mail yamanishi@
URL https://yamanishi.cs.i.nagoya-u.ac.jp/
ORCID https://orcid.org/0000-0003-2279-8773
(Please replace "@" by "@i.nagoya-u.ac.jp")

Affiliation (2018.6 - 2023.3):

Affiliation   Department of Bioscience and Bioinformatics,
Faculty of Computer Science and Systems Engineering,
Kyushu Institute of Technology
Address 680-4 Kawazu, Iizuka, Fukuoka 820-8502, JAPAN
Tel +81-948-29-7821
Fax +81-948-29-7801
Physical office Integrative Research Building, Room 706
Building map Number 7 in the Campus map
E-mail yamani@
URL http://labo.bio.kyutech.ac.jp/~yamani/
ORCID https://orcid.org/0000-0003-2279-8773
(Please replace "@" by "@bio.kyutech.ac.jp")

Experience:

2023.4 - present    Professor at Department of Complex Systems Science, Graduate School of Informatics, Nagoya University, Japan
2018.6 - 2023.3    Professor at Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Japan
2015.10 - 2019.3    PRESTO researcher, JST, Japan
2012.3 - 2018.5    Associate Professor at Division of System Cohort, Medical Institute of Bioregulation, Kyushu University, Japan
2012.3 - 2017.2    Associate Professor at Institute for Advanced Study, Kyushu University, Japan
2008.1 - 2012.2    Permanent Researcher at Unit of Bioinformatics, Biostatistics, Epidemiology and Computational Systems Biology of Cancer, Curie Institute, France
2008.1 - 2012.2    Permanent Researcher at Center for Computational Biology, Mines ParisTech, France
2006.4 - 2007.12    Assistant Professor at Institute for Chemical Research, Kyoto University, Japan
2005.4 - 2006.3    Postdoctral Fellow at Center for Computational Biology, École Nationale Supérieure des Mines, France
2004.4 - 2005.3    Research Fellow of the Japan Society for the Promotion of Science (DC2), Japan

Academic degree:

2005.3.23    Ph.D., Doctor of Science, Kyoto University, Japan
      "Development of methods for analyzing heterogeneous genomic data and for inferring protein networks", Doctoral Thesis, Graduate School of Science, Kyoto University

Award:

2014.4.7    The Young Scientists’ Prize, The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology
2003.12.5    The ICR Award for Students (ICR: Institute for Chemical Research, Kyoto University)

Social activity:

2023.4-present    Japan Bioinformatics Society (JSBi), President
2021.4-2023.3    Japan Bioinformatics Society (JSBi), Vice-president
2016.4-present    Japan Bioinformatics Society (JSBi), Executive board member
2018.4-2023.3    Division of Chemoinformatics, The Chemical Society of Japan (CICSJ), Executive board member
2018.4-present    Japan Medical AI Society (JMAI), Councilor
2013.6-present    PLoS ONE, Editorial board
2014.12-2018.8    BioMed International, Editorial board
2016.7-present    Genes & Genetic Systems, Editorial board
2017.1-present    Molecular Informatics, Editorial board
2019.7-present    F1000Research Chemical Information Science Gateway, Advisory Board
2021.4-現在    Journal of Computer Aided Chemistry, Editorial board

Academic society:

   Japanese Society for Bioinformatics (JSBi)
   The Chem-Bio Informatics Society (CBI)
   Japanese Society of Computational Statistics (JSCS)
   Division of Chemoinformatics, The Chemical Society of Japan (CICSJ)
   Japan Medical AI Society (JMAI)
   International Society for Computational Biology (ISCB)

Invited talks at international conferences:

  1. Yamanishi, Y.,
    "Data-driven drug discovery and molecular design by machine learning",
    Inserm/JSPS joint seminar on artificial intelligence and big data approaches in precision medicine and health science (HP), Yamaguchi, Japan, Dec.3-Dec.4 (presentation on Dec. 4), 2022. [Invited talk]
  2. Yamanishi, Y.,
    "Data-driven drug discovery and molecular design by machine learning",
    The 7th Autumn School of Chemoinformatics in Nara 2022 (HP), Nara, Japan, Nov.29-Nov.30 (presentation on Nov. 29), 2022. [Invited talk]
  3. Yamanishi, Y.,
    "Data-driven drug discovery and medical treatment by machine learning",
    The Eighteenth International Conference on Intelligent Computing (ICIC2022), Xi'an, China, Aug.7-Aug.11 (presentation date: Aug. 9), 2022. [Invited talk]
  4. Yamanishi, Y.,
    "Network-based and data-driven drug discovery by machine learning",
    BioNetVisA workshop at the 20th International Conference on Systems Biology (ICSB2019), Okinawa, Japan, Oct.31, 2019. [Invited talk]
  5. Yamanishi, Y.,
    "Data-driven drug discovery and medical treatment by machine learning",
    ACS Fall 2019 National Meeting & Exposition, Herman Skolnik Symposium, San Diego, USA, Aug.27-Aug.27, 2019. [Invited talk]
  6. Yamanishi, Y.,
    "Machine learning approach to bioinformatics and drug discovery"",
    2019 Gorden Research Conference (GRC), (HP), Lucca (Barga), Italy, Mar.10-Mar.15, 2019. [Invited talk]
  7. Yamanishi, Y.,
    "Data-driven drug discovery and repositioning by machine learning methods",
    ACS Fall 2018 National Meeting & Exposition, Herman Skolnik Symposium, "De novo design - Automating drug discovery" session(HP), Boston, USA, Aug.21-Aug.21, 2018. [Invited talk]
  8. Yamanishi, Y.,
    "Data-driven drug discovery and repositioning by machine learning",
    The 5th Autumn School of Chemoinformatics in Nara 2017 (HP), Nara, Nov.15-Nov.16, 2017. [Invited talk]
  9. Yamanishi, Y.,
    "Statistical machine learning approaches for agriculture and human healthcare based on biomedical big data",
    Forum "Math-for-Industry" 2016 (FMfI2016), Brisbane, Australia, Nov.21-Nov.23, 2016. [Invited talk]
  10. Yamanishi, Y.,
    "Statistical machine learning for drug discovery",
    First Kyushu-UNSW Joint Workshop on the Mathematics underpinning Industry and Innovation, Sydney, Australia, Nov.18, 2016. [Invited talk]
  11. Yamanishi, Y.,
    "Systematic drug repositioning via omics data analysis with machine learning methods",
    Autumn School of Chemoinformatics in Tokyo (HP), Tokyo, Nov.25-Nov.26, 2015. [Invited talk]
  12. Yamanishi, Y.,
    "Systematic drug repositioning for a wide range of diseases with computational approaches",
    JCUP VI (JCUP VI), Tokyo, Jun.4-Jun.5, 2015. [Invited talk]
  13. Yamanishi, Y.,
    "Analysis and inference of drug-target interaction networks",
    International Symposium on Bioinformatics and its Application (ISBA), Tokyo, Japan, Sep.30, 2014. [Invited talk]
  14. Yamanishi, Y.,
    "Analysis and inference of drug-target interaction networks",
    The 2nd BMIRC International Symposium on Advances in Bioinformatics and Medical Engineering (BMIRC2014), Iizuka, Japan, Jan.29-Jan.30, 2014. [Invited talk]
  15. Yamanishi, Y.,
    "Predicting drug-target interaction networks from the integration of chemical, genomic, and pharmacological spaces",
    International Symposium on Tumor Biology in Kanazawa & Academic Drug Discovery Symposium (HP), Kanazawa, Japan, Jan.23-Jan.24, 2014. [Invited talk]
  16. Yamanishi, Y.,
    "Machine learning methods to analyze and infer drug-target interaction networks",
    2012 Sapporo Workshop on Machine Learning and Applications to Biology (MLAB2012), Sapporo, Japan, Aug.6-Aug.7, 2012. [Invited talk]
  17. Yamanishi, Y.,
    "Predicting drug-target interaction networks from the integration of chemical, genomic, and pharmacological spaces",
    The 2012 workshop on statistical methods for post-genomic data (SMPGD2012), Lyon, France, Jan.26-Jan.27, 2012. [Invited talk]
  18. Yamanishi, Y.,
    "Prediction of drug-target interactions from the integration of chemical, genomic and pharmacological data",
    Workshop on Bioinformatics for Medical and Pharmaceutical Research (website), Paris, France, Nov.16-Nov.17, 2009. [Invited talk]
  19. Yamanishi, Y.,
    "Supervised bipartite graph inference: applications to predicting drug-target interactions",
    The workshop on Statistic Mathematic and Applications, Frejus (La Villa Clythia), France, Sep.01-05, 2008. [Invited talk]
  20. Yamanishi, Y.,
    "Metabolic Network Inference from Multiple Types of Genomic Data",
    INRA Workshop on System Biology (INRA), Paris, France, Feb.2, 2006. [Invited talk]

Research Interests:

Publications:

Last updated: April 4, 2013
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