Anna Tomberg is an Associate Principal Scientist and computational chemist at AstraZeneca in Gothenburg with a decade of experience applying machine learning and classical modeling to support drug design. With a PhD from McGill and a background bridging chemistry and computer science, she advances projects from quantum chemistry calculations to ML-driven prediction workflows. She has progressed through research and senior scientist roles at AstraZeneca, pairing hands-on method development with project-focused delivery. Beyond the lab, she creates practical tutorials on Gaussian 09 and ORCA, sharing computational techniques with the community—an indication of both her technical depth and commitment to knowledge transfer.
10 years of coding experience
5 years of employment as a software developer
DEC, Pure and Applied Science, DEC, Pure and Applied Science at Marianopolis College
Doctor of Philosophy (PhD), Chemistry, Doctor of Philosophy (PhD), Chemistry at McGill University
Contributions:18 commits, 16 pushes, 1 branch in 1 month
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