Carles Verge is a Senior Machine Learning Engineer with over a decade of experience applying biophysics and computational methods to accelerate drug and biologics discovery. He pairs a PhD in Physical Chemistry and hands-on molecular modeling expertise with scalable ML infrastructure—building automated pipelines (Airflow/Prefect), cloud-deployed models, and DevOps/MLOps practices to close the design-make-test cycle. His career spans academia and startups, where he has integrated molecular simulations, chemoinformatics, phage/lentiviral screening data and NGS to drive peptide library design and lead optimization. At Recursion and Cyclica he led production ML efforts for virtual screening and iterative experimental feedback, often translating structural biology insights into deployable models. Comfortable communicating complex science to product and engineering teams, he uniquely bridges detailed molecular intuition with large-scale engineering for reproducible drug discovery workflows.
11 years of coding experience
14 years of employment as a software developer
University of Seville
Doctor of Philosophy (PhD) Physical Chemistry, Doctor of Philosophy (PhD) Physical Chemistry at Universidad de Granada
M.Sc. Bioinformatics and Computational Biology, M.Sc. Bioinformatics and Computational Biology at Universidad Complutense de Madrid
B.Sc. Biology, B.Sc. Biology at Universitat de Girona
Contributions:82 pushes, 2 branches in 3 years 7 months
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Carles Verge - Senior Machine Learning Engineer 2 at Recursion