Mikhail Tsitsvero
Research And Development Scientist at CrowdChem
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolMikhail Tsitsvero is an R&D scientist based in Tokyo with nine years of experience applying AI to chemistry, materials science, and physics. He holds a PhD in Information Engineering/Computer Science from Sapienza and has combined deep academic training in graph theory and sampling with postdoctoral work in machine learning to tackle complex scientific problems. As a specially appointed assistant professor at Hokkaido University's ICReDD and now at CrowdChem, he bridges theory and application to accelerate materials discovery. Colleagues know him for translating advanced graph-based methods into practical AI workflows—a skill honed across academia and industry—and for bringing a mathematician’s rigor to experimental design and model interpretability.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Information Engineering/Computer Science, Doctor of Philosophy - PhD, Information Engineering/Computer Science at Sapienza Università di Roma
Russian, English, Italian, French, Japanese
Github Skills (25)
binding9
computational-chemistry8
quantum-chemistry7
representations7
factorization6
brain-computer-interface6
abaqus6
python6
atomic5
machine-learning5
materials-informatics4
deep-learning3
scale3
scalable3
pytorch3
Programming languages (5)
Github contributions (5)
tsitsvero/xtb_prob
Jan 2021 - Dec 2021
Semiempirical Extended Tight-Binding Program Package
Contributions:20 PRs, 80 pushes, 9 branches in 11 months
nim-langextendeddataflow-programmingtight-bindingbinding
chem-gp/fande
Jun 2022 - Mar 2024
Contributions:236 pushes, 4 branches, 1 comment in 1 year 9 months
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