CV

Education

2018
Ph.D. in Engineering

Department of Aeronautics and Astronautics, School of Engineering, The University of Tokyo, Japan
- Supervised by Prof. Takehisa Yairi
- Dissertation: Data-driven analysis of dynamical systems based on the Koopman operator: A machine learning perspective
2015

Master of Engineering

Department of Aeronautics and Astronautics, School of Engineering, The University of Tokyo, Japan
2013

Bachelor of Engineering

Department of Aeronautics and Astronautics, Faculty of Engineering, The University of Tokyo, Japan

Experience

2020-now

Postdoctral Researcher

Data Mining and Machine Learning Group, Geneva School of Business Administration, University of Applied Sciences and Arts Western Switzerland
2020-now

Visiting Scientist

Structured Learning Team, RIKEN Center for Advanced Intelligence Project
2018-2020

Postdoctral Researcher

Structured Learning Team, RIKEN Center for Advanced Intelligence Project
2015-2018

Research Fellow (Research Fellowship for Young Scientists DC1)

Japan Society for the Promotion of Science (working at the University of Tokyo)

Grants

JSPS KAKENHI
- JP20K19869, Grant-in-Aid for Early-Career Scientists (PI; 3,300k JPY)
- JP19K21550, Grant-in-Aid for Research Activity Start-up (PI; 2,300k JPY)
- JP15J09172, Grant-in-Aid for JSPS Fellows (PI; 2,800k JPY)

Contributions

Serving regularly as a reviewer for the following conferences: AAAI, AISTATS, ICLR, ICML, IJCAI, NeurIPS
Serving irregularly as a reviewer for conferences including ACC, CDC, ECMLPKDD, ICRA, IROS, ISWC, MTNS
Serving as a member of the editorial board of the Japan Society for Artificial Intelligence (2022-now); served also as a member of the student editorial board of JSAI (2015-2018)
Served as a reviewer for journals such as Acta Astronautica, Advances in Space Research, Automatica, Computer Physics Communications, IEEE Control Systems Letters, IEEE Robotics and Automation Letters, International Journal for Numerical Methods in Engineering, International Journal of Electrical Power and Energy Systems, Journal of Computational and Applied Mathematics, Journal of Computational Physics, Journal of the Franklin Institute, Journal of the Royal Society Interface, Neural Computation, Results in Control and Optimization, Transactions on Machine Learning Research
Served as a conference program committee member for IBIS 2019
Co-organized the Synergy of Scientific and Machine Learning Modelling (SynS & ML) Workshop at ICML 2023