2018 IPA Mitou Advanced Program, Ministry of Economy, Trade, and Industry, Japan
2021 INNO-vation Program, Ministry of Internal Affairs and Communications, Japan
2021 Dean’s Award, Graduate School of Information Science and Technology at the University of Tokyo
2021- Ph.D. student at Carnegie Mellon University, School of Computer Science.
Several papers have been accepted to ACM CHI, which is the premier conference in the field of Human-Computer Interaction. One paper received the Best Paper award and another received the Best Paper Honorable Mention award.
2022 Snap Research Fellowship
2023 Center for Machine Learning and Health Fellowship

Research papers selected for the ACM CHI, the top conference in the field of human-computer interaction, from 2019 to 2023. Won the Best Paper Award at CHI 2020 and the Best Paper Honorable Mention Award at CHI 2021 and 2023.

I am exploring what computers can do to help people lead healthier and happier lives. Behavior change plays an important role in healthcare. In my specialty, Human-Computer Interaction research, I continue to consider how people and computers can interact with each other to help people move toward their ideal state. At Carnegie Mellon University, I develop intelligent computer systems that utilize cutting-edge technologies in machine learning while evaluating them in the real world. I would like to contribute to the health and wellbeing of humankind by maximizing the power of existing computing devices and opening up new possibilities.