Yuta Suzuki
Researcher at KEK
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolYuta Suzuki is a researcher based in Tokyo with nine years of experience at the intersection of machine learning and materials science, currently working at Toyota and affiliated with Osaka University. He holds a PhD in Materials Informatics and has blended deep materials expertise—especially crystal structure analysis of functional inorganic materials—with ML-driven discovery and automated experimentation. His work spans national labs and industry, including RIKEN, KEK, and internships at OMRON and NIMS, reflecting a track record of applied research and collaboration. An active open-source contributor, he implemented a neutron diffraction calculator in the widely used pymatgen library, bringing rigorous validation and practical tools for diffraction analysis to the community. He is motivated by sustainability-focused materials discovery and by translating advanced LLM and ML techniques into experimental acceleration.
9 years of coding experience
Doctor of Philosophy - PhD, Materials Informati, Doctor of Philosophy - PhD, Materials Informati at The Graduate University for Advanced StudiesMaster of Engineering (M.Eng.), Materials Science, Master of Engineering (M.Eng.), Materials Science at Tokyo University of Science
Github Skills (7)
science10
python10
scientific-computing10
numpy10
materials-informatics10
computational-materials-science10
testing9
Programming languages (5)
Github contributions (5)
materialsproject/pymatgen
Mar 2018 - Apr 2018
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
Role in this project:
Data Scientist
Data ScientistContributions:14 commits, 3 PRs, 5 comments in 23 days
Contributions summary:Yuta primarily contributed to the development of a neutron diffraction calculator within the pymatgen library, which is designed for materials analysis. They implemented a `NDCalculator` class and related functionalities, including the calculation of diffraction patterns based on crystal structures, and integrated Debye-Waller factors. The user also added unit tests to validate the accuracy of the calculations and ensure the correct handling of various scenarios, including hexagonal structures and exception handling.
moleculespythonscienceelectronic-structurepowers
resnant/dmol-book-japanese
Jul 2022 - Oct 2022
Japanese translation of "Deep learning for molecules and materials book"
Contributions:55 commits, 7 PRs, 27 pushes in 2 months
moleculesdeep-learningtranslationjapanesetorch
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