Senior Research Scientist at Eli Lilly and Company
Alcobendas, Community of Madrid, Spain
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Summary
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Senior
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Top School
Sergio Pérez-conesa is a multidisciplinary computational chemist and senior research scientist with 9+ years of experience applying molecular dynamics, free energy methods, quantum chemistry and machine learning to biomolecular problems, especially ion channels and class A GPCRs. He has a strong track record in both academia and industry—authored 10+ papers, revitalized and optimized group software, and drove studies from NMR-informed channel state characterization to full free-energy surfaces and Bayesian analyses. Comfortable in HPC Linux environments and modern Python, he builds data-driven, reproducible workflows and champions open-source practices and clear documentation. A seasoned mentor and communicator who has worked across five countries, he combines technical versatility with curiosity and a persistent drive to translate computational insight into drug-discovery impact.
9 years of coding experience
7 years of employment as a software developer
University of Seville
European Master of Theoretical Chemistry and Computational Modeling, Theoretical chemistry, computational modeling and simulation., 9.34, European Master of Theoretical Chemistry and Computational Modeling, Theoretical chemistry, computational modeling and simulation., 9.34 at Universidad Autónoma de Madrid
An implementation of the string method using GROMACS' python API
Contributions:2 PRs, 28 pushes in 1 year 11 months
gromacsapipythonstringmethod
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