Andrew Dalke is an independent software consultant and owner with over 20 years building production software for molecular modeling, cheminformatics, and bioinformatics, specializing in early-stage drug discovery. He combines hands-on development—contributing performance improvements to high-profile open-source projects like RDKit—with training and tooling work that helps computational chemists become better software authors. Clients value his ability to design robust back-end engines, integrate disparate tools into automated pipelines, and resurrect critical legacy code through “code archeology.” He teaches practical Python and Django courses based on real research workflows and has lectured internationally for organizations such as the National Bioinformatics Network and Novartis. Based in Gothenburg, Sweden, he pairs a physics MS and deep domain experience with a pragmatic focus on performance, reproducibility, and making scientific software cooperate reliably at scale.
20 years of coding experience
4 years of employment as a software developer
Florida State University
Coral Gables Senior High
MS, Physics, MS, Physics at University of Illinois Urbana-Champaign
Contributions:32 commits, 4 PRs, 62 comments in 3 days
Contributions summary:Andrew contributed to the RDKit library by enhancing the PandasTools module. Their work focused on improving the performance of the SDF loader, adding support for gzip compressed files, and implementing new tests. The user also optimized the WriteSDF function, adding gzip output support and improving its speed. Furthermore, the user made changes to conversion code for increased speed, by using map() instead of apply().
A package to identify matched molecular pairs and use them to predict property changes.
Contributions:1 release, 38 commits, 5 PRs in 1 year 9 months
cheminformaticsproteinsdockingpredictmolecular
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Andrew Dalke - Owner at Dalke Scientific Software, LLC