CV
Experience
-
2020-2023
Postdoctral Researcher (Collaborateur Scientifique)
Data Mining and Machine Learning Group, Haute école de gestion de Genève, Haute école spécialisée de Suisse occidentale (HES-SO)
-
2020-2025
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 UTokyo)
Education
-
2018
Ph.D. in Engineering
Department of Aeronautics and Astronautics, School of Engineering, UTokyo
-
2015
Master of Engineering
Department of Aeronautics and Astronautics, School of Engineering, UTokyo
-
2013
Bachelor of Engineering
Department of Aeronautics and Astronautics, Faculty of Engineering, UTokyo
Grants
-
JSPS KAKENHI
- JP25H01454, Grant-in-Aid for Transformative Research Areas (B) (PI): 25B402 "Data-Driven Inference"
- JP24K01110, Grant-in-Aid for Scientific Research (B) (Co-I)
- JP20K19869, Grant-in-Aid for Early-Career Scientists (PI)
- JP19K21550, Grant-in-Aid for Research Activity Start-up (PI)
- JP15J09172, Grant-in-Aid for JSPS Fellows (PI)
-
Others
- JPMJPR24T6, JST PRESTO R&D Process Innovation
Contributions
- Serving regularly as a reviewer for AAAI, AISTATS, ICLR, ICML, NeurIPS
- Serving irregularly as a reviewer for conferences such as ACML, ACC, CDC, ECMLPKDD, ICRA, IJCAI, IROS, ISWC, MTNS
- Serving as a member of the editorial board of the journal Machine Learning: Science and Technology (MLST) (2024-now)
- 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, Applied Intelligence, Automatica, Computer Physics Communications, IEEE Control Systems Letters, IEEE Robotics and Automation Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, 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 Guidance, Control, and Dynamics, Journal of Machine Learning Research, Journal of the Franklin Institute, Journal of the Royal Society Interface, The Journal of the Royal Statistical Society, Series C, Machine Learning: Science and Technology, Neural Computation, Physica D: Nonlinear Phenomena, Transactions on Machine Learning Research
- Served as a conference program committee member for IBIS 2019, IBIS 2025
- Co-organized the Synergy of Scientific and Machine Learning Modelling (SynS & ML) Workshop at ICML 2023