Orion Cohen
Co-Founder & CTO at Stealth Startup
United States
Summary
🤩
Rockstar🎓
Top SchoolOrion Cohen is a Co-Founder and CTO with nine years of experience at the intersection of AI and computational materials science, currently building a stealth startup in the New York area. He earned a Ph.D. in Chemistry with a computational data science emphasis from UC Berkeley and has a track record translating research into product — from discovering novel battery electrolytes at Berkeley Lab to leading an AI-enabled materials discovery team and shipping TorchSim. An active open-source contributor, he’s fixed and extended core tooling in the widely used pymatgen materials library (including Open Babel integration and XYZ handling). Orion combines hands-on backend engineering with domain expertise in high-throughput DFT and molecular dynamics, and he’s as comfortable advising campus compute strategies as he is designing simulation-informed GNNs for battery lifetime prediction.
9 years of coding experience
2 years of employment as a software developer
Ph.D. Chemistry Designated Emphasis in Computational Data Science & Engineering, Ph.D. Chemistry Designated Emphasis in Computational Data Science & Engineering at University of California, BerkeleyBachelor of Arts - BA Chemistry, Bachelor of Arts - BA Chemistry at Reed College
Github Skills (6)
pymatgen10
science10
python10
materials-informatics9
testing8
pytest8
Programming languages (7)
Github contributions (5)
materialsproject/pymatgen
May 2020 - Jul 2022
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:
Back-end Developer
Back-end DeveloperContributions:11 commits, 7 PRs, 9 comments in 2 years 1 month
Contributions summary:Orion primarily contributed to integrating and fixing compatibility issues with the Open Babel library within the pymatgen code. This involved modifying import statements, adapting code to work with different versions of Open Babel (specifically 3.0), and updating existing functions to use the library correctly. They also added a new method and unit tests for handling XYZ files. This included modifications to the BabelMolAdaptor class.
moleculespythonscienceelectronic-structurepowers
orionarcher/mdanalysis
Mar 2021 - Mar 2024
MDAnalysis is a Python library to analyze molecular dynamics trajectories.
Contributions:49 pushes, 5 branches in 3 years
python-librarypythonmolecular-dynamicsmolecular-dynamics-trajectoriessimulation
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