Alexander Payne
New York City Metropolitan Area United States
Summary
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Rockstar🎓
Top SchoolAlexander Payne is a computational biophysicist and PhD candidate with six years of hands-on experience using molecular dynamics, cryo-EM, and machine learning tools to probe protein dynamics for drug discovery and protein design. He has contributed to open science drug-discovery pipelines (including work on SARS-CoV-2 main protease datasets), run Folding@home simulations, and built reproducible analysis repositories while collaborating across international teams. Experienced as an instructor and mentor, he has taught graduate biophysics courses and developed curriculum-style lectures on applications of statistical mechanics to biological problems. Equally comfortable in Python, Rosetta, CHARMM-GUI/OpenMM, and cryo-EM toolchains, he combines rigorous computational technique with a passion for education and science outreach. Alexander is particularly interested in leveraging deep neural networks to map protein dynamics to allosteric and de novo design insights, aiming for roles that bridge academic teaching and computational drug-discovery projects.
6 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Chemical Biology, Doctor of Philosophy - PhD Chemical Biology at Tri-Institutional PhD Program in Chemical Biology (TPCB)Bachelor’s Degree Biology Chemistry, Bachelor’s Degree Biology Chemistry at The University of North Carolina at Chapel HillHigh School Diploma, High School Diploma at Delaware County Christian School
English, German
Github Skills (89)
evo10
computational-biology10
structural-biology10
jupyterlab-extension10
simulation10
folding10
simulations9
molecular-dynamics-simulation9
pdb-files9
science9
computational-chemistry9
chat9
drug-discovery9
jupyter9
molecular-simulation9
Programming languages (7)
Github contributions (5)
asapdiscovery/asapdiscovery
Sep 2022 - Dec 2022
Toolkit for open antiviral drug discovery by the ASAP Discovery Consortium
Contributions:314 reviews, 180 commits, 134 PRs in 2 months
pythondata-sciencedeep-learningmachine-learningmlops
choderalab/asapdiscovery-sars-retrospective
Jun 2023 - Mar 2025
Repository to store the code used for a paper exploring methods for SARS-2 Mpro Docking.
Contributions:32 PRs, 347 pushes, 40 branches in 1 year 10 months
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