Andrew Rosen
Assistant Professor, Chemical And Biological Engineering at Princeton University
New Jersey, United States
Summary
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Rockstar🎓
Top SchoolAndrew Rosen is an Assistant Professor of Chemical and Biological Engineering at Princeton University with 11 years of experience at the intersection of materials science, computational methods, and chemical engineering. He leads the Quantum-Accelerators group and holds affiliated roles across Princeton’s materials, machine learning, and computational science institutes, reflecting a cross-disciplinary focus on algorithm-driven materials discovery. His postdoctoral Miller Fellowship at UC Berkeley and PhD from Northwestern underpin expertise in catalysis and simulation, while hands-on contributions to the widely used pymatgen library demonstrate practical impact on electronic-structure workflows (notably VASP spin-channel support). Colleagues describe him as a researcher who blends deep theory with production-grade software, enabling reproducible computational materials research and accelerating translation from code to scientific insight.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Chemical Engineering, Doctor of Philosophy (Ph.D.), Chemical Engineering at Northwestern UniversityBachelor of Science (B.S.), Chemical Engineering, Bachelor of Science (B.S.), Chemical Engineering at Tufts University
English
Stackoverflow
1reputation
0reached
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0questions
Github Skills (6)
ec10
struct10
science10
python10
unit-testing9
code-optimization8
Programming languages (20)
Github contributions (5)
materialsproject/pymatgen
Jun 2021 - Aug 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 & Materials Scientist
Back-end Developer & Materials ScientistContributions:44 reviews, 247 commits, 81 PRs in 1 year 1 month
Contributions summary:Andrew primarily focused on implementing and improving VASP (Vienna Ab Initio Simulation Package) input/output functionalities within the pymatgen library, a Python materials analysis code. Their contributions included adding support for spin-dependent eigenvalue band properties, including separate spin channels in the eigenvalue band properties calculations. Additionally, the user worked on improving the code base by fixing type errors and linting errors.
moleculespythonscienceelectronic-structurepowers
Andrew-S-Rosen/QMOF
Jun 2021 - Nov 2022
The QMOF Database: A database of quantum-mechanical properties for metal-organic frameworks.
Contributions:66 commits, 2 PRs, 386 pushes in 1 year 5 months
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