Marawan Ahmed is a computational chemist and co-founder with 8+ years applying machine learning and atomistic simulations to drug discovery, now leading a stealth biotech tackling antibacterial resistance. He blends deep expertise in quantum chemistry, molecular dynamics, docking and free energy calculations with production-grade Python ML tooling (TensorFlow, DeepChem, Scikit-learn) to accelerate small-molecule lead discovery. His career spans academic postdoctoral work and industry roles at Variational AI and API, where he translated high-performance computing workflows into automated, reproducible pipelines. Notably, he has hands-on experience integrating GPU-accelerated modeling and wet-lab validation, and has built bespoke scripts and ML classifiers for GPCR-directed discovery that bridge computational predictions with experimental assays. Based in Edmonton, he combines strategic startup leadership with cross-disciplinary collaboration to advance therapeutics against critical pathogens.
8 years of coding experience
3 years of employment as a software developer
Postdoc Computational Chemistry, Postdoc Computational Chemistry at University of Alberta
Doctor of Philosophy (PhD) Computational chemistry, Doctor of Philosophy (PhD) Computational chemistry at Swinburne University of Technology
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