Luan Martins is a computational chemist and drug hunter with nine years of experience combining advanced molecular simulation, QM/MM, and ML with hands-on experimental validation to drive small-molecule discovery. He holds a PhD in Bioinformatics and completed a doctoral stay at UCSF, and has authored/co-authored ten high-impact papers while moving between academia and industry roles including postdocs and independent consulting for a mid-sized East Coast pharma. Luan develops practical tools to accelerate discovery—he’s the author of PyAutoFEP, an open-source automated free energy perturbation workflow for GROMACS—and now applies that expertise at AQEMIA in Paris. Known for benchmarking computational models directly against experimental data, he blends rigorous method development with pragmatic deployment to impact real drug projects.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Universidade Federal de Minas Gerais
Doctoral Stay, Pharmaceutics and Drug Design, Doctoral Stay, Pharmaceutics and Drug Design at University of California, San Francisco
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