Curriculum vitae
Research experience
University of Florida
Postdoctoral Associate · January 2025–present
J. Crayton Pruitt Family Department of Biomedical Engineering, Florida, United States
Gong Lab
National Institutes for Quantum Science and Technology (QST)
Visiting Collaborative Researcher · October 2022–December 2024
Institute for Quantum Medical Science, Chiba, Japan
Yamaya Lab
Hamamatsu Photonics K.K.
Researcher · April 2016–December 2024
Central Research Laboratory, Shizuoka, Japan
Education
Ph.D. — Chiba University
October 2022–September 2024
Department of Medical Engineering, Graduate School of Science and Engineering, Chiba, Japan
Dissertation: Improving PET Image Quality Using Deep Image Prior
Advisor: Prof. Taiga Yamaya
M.S. — Fujita Health University
April 2014–March 2016
Graduate School of Health Sciences, Aichi, Japan
B.S. — Fujita Health University
April 2010–March 2014
School of Health Sciences, Aichi, Japan
Academic Service
Japanese Society of Medical Imaging Technology (JAMIT)
- 2024–present — Vice Chair, Young Researchers Committee.
- 2024 — Organizing Committee Member, 2nd Symposium on Advanced Medical Imaging Technology for Young Investigators (SAMIT 2024).
- 2024 — Conference Planning Advisor, 43rd Annual Meeting of JAMIT.
- 2024 — Program Committee Member, 43rd Annual Meeting of JAMIT.
- 2022–2024 — Board Member, JAMIT.
- 2023 — Chair, Symposium on Advanced Medical Imaging Technology for Young Investigators (SAMIT 2023).
- 2023 — Operations Committee Chair, 42nd Annual Meeting of JAMIT.
Honors and Awards
2026 — IEEE Ronald J. Jaszczak Graduate Award, IEEE Nuclear and Plasma Sciences Society.
2026 — Most Citation Award, Radiological Physics and Technology.
Deep-learning-based fast TOF-PET image reconstruction using direction information (2022).2025 — Outstanding Reviewer Award, Radiological Physics and Technology.
2024 — IOP Trusted Reviewer status, IOP Publishing.
2022 — Most Citation Award, Radiological Physics and Technology.
Automated segmentation of 2D low-dose CT images of the psoas-major muscle using deep convolutional neural networks (2019).2020 — Hiruma/Wagner Award, Research Foundation for Opto-Science and Technology.
For “Deep Learning in Brain PET Imaging.”2018 — Doi Award, Radiological Physics and Technology.
Dose reduction technique in diagnostic X-ray computed tomography by use of 6-channel multileaf collimators (2017).
