CV

Download full CV (PDF) Last updated: June 2026

Education

  • Ph.D. in Chemistry Massachusetts Institute of Technology, MA, USA
    Sept. 2021 – Sept. 2026 (expected)
  • M.S. in Engineering Institute of Science Tokyo, Japan
    Sept. 2019 – Sept. 2021
  • B.S. in Engineering Institute of Science Tokyo, Japan
    Apr. 2016 – Sept. 2019 (Early Graduation)
  • Teaching: Quantum Mechanics (2021), General Chemistry (2022)
  • Leadership: APS Group on Data Science Student Representative (2026–2028); Japanese Assoc. of MIT, Treasurer (2022–2024); Sidney Pacific Graduate Residence, Officer (2022–2024); Japan–US Science Forum in Boston, Organizer (2022–2024)

Experience

  • Research Assistant Massachusetts Institute of Technology (Advisor: Prof. Mingda Li), MA, USA
    • Developed machine learning methods to explore the structure–property relationship in materials (e.g., prediction of phonon dispersion from material structures, generating quantum material candidates).
    • Developed machine learning methods to localize radiation sources with detector arrays.
    Nov. 2021 – Present
  • Research Intern IBM Thomas J. Watson Research Center (Mentor: Dr. Ching-Tzu Chen), NY, USA
    • High-throughput calculation of electrical conductance in topological interconnect materials.
    • Developed machine learning methods to predict the conductance of slab materials.
    May – Aug. 2024
  • Research Assistant Institute of Science Tokyo (Advisor: Prof. Yoshitaka Ishii), Japan
    • Implemented new schemes of solid-state nuclear magnetic resonance (SSNMR) for selective signal acquisition and evaluated them through multidimensional SSNMR experiments with numerical simulations.
    Oct. 2018 – Aug. 2021
  • Research Intern Yale University (Advisor: Prof. Charles A. Schmuttenmaer), CT, USA
    • Synthesized metal-organic frameworks (MOFs) as photosensitizers and characterized them using powder X-ray diffraction, electrochemical experiments, and time-resolved terahertz spectroscopy.
    Jan. – Apr. 2019
  • Research Intern Rice University (Advisor: Prof. Angel A. Martí), TX, USA
    • Observed the aggregation kinetics of Amyloid beta (Aβ) protein and interactions with the metal complex.
    Aug. – Sept. 2018

Honors & Awards

  • MRS 2025 Spring Graduate Student Silver Award
    Apr. 2025
  • MRS 2025 Spring Best Poster Award
    Apr. 2025
  • IBM PhD Fellowship Award (granted 40,000 USD)
    Sept. 2024 – Aug. 2025
  • NERSC GenAI AY2024 Resource Allocation (6,800 GPU node hours, 1,000 CPU node hours)
    Jul. 2024
  • JASSO Graduate Fellowship (granted approx. 11,000 USD)
    Sept. 2023 – Aug. 2024
  • Heiwa Nakajima Foundation Fellowship (granted approx. 70,000 USD)
    Sept. 2021 – Aug. 2023
  • Best Presentation Award, Master Thesis Midterm Presentation, Tokyo Institute of Technology
    Jul. 2020
  • NMR Society of Japan Young Scientists Poster Award
    Nov. 2020
  • Nakatani Foundation Graduate Fellowship (granted approx. 35,000 USD)
    Sept. 2019 – Aug. 2021
  • Nakatani RIES Fellowship (fully funded research internship at Rice University and Yale University)
    Aug. 2018

Skills

  • Programming: Python, CUDA, MATLAB, Git, Scripting (Bash), LaTeX, HTML, Vim, Tcl
  • Software: Machine learning (PyTorch, TensorFlow, Scikit-learn, PyTorch Lightning, WandB, Transformers), material simulations (ABINIT, Quantum Espresso, VASP, Wannier90, FEFF, Phonopy, Phono3py, OpenMC, Kwant), NMR simulations (SIMPSON, SpinEvolution), Linux, Origin, ChemDraw, Claude Code, Codex
  • Material characterization: Solid-state NMR, powder X-ray diffraction, metal-organic framework synthesis

Community Service

  • Journal peer review: Matter, NPJ Quantum Mater., Phys. Rev. Lett., Phys. Rev. Mater., Phys. Rev. A, EPJ Quantum Technol., 2026 Conference on Physics and AI (PAI26) @ Stanford
  • Session chair: APS Global Physics Summit 2026 (MAR-J42, MAR-W27), PAI26

Publications & Presentations

Full lists are on the Publications and Talks pages.