Associate Principal Scientist (Machine Learning Cheminformatics Expert)
Gothenburg, Sweden
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Summary
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Senior
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Top School
Christos Kannas is an Associate Principal Scientist specializing in machine learning and cheminformatics with over a decade of applied experience in pharma and academic research. Based in Gothenburg, he currently drives MolecularAI projects at AstraZeneca, building reaction knowledge graphs and refactoring core workflows for hybrid fingerprinting and frequent-hitter scoring. His background blends research software engineering with algorithmic chemistry—earlier roles include developing de novo multi-objective molecule design methods and production cheminformatics platforms for canSAR. Christos holds a PhD in Computer Science and has a history of porting scientific code to high-performance environments, from CUDA-accelerated climate modules to scalable virtual screening workflows. He is strong at turning research prototypes into maintainable production tooling that integrates chemical data, ML models and domain-specific rules. Less obvious: he combines hands-on low-level optimization experience with higher-level ML/graph engineering, making him effective across the full stack of computational chemistry solutions.
12 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.), Advanced Information Technologies, Master of Science (M.Sc.), Advanced Information Technologies at University of Cyprus
Bachelor of Science (B.Sc.), Computer Science, 6.82/10, Bachelor of Science (B.Sc.), Computer Science, 6.82/10 at University of Ioannina
High School, Physical Sciences, High School, Physical Sciences at Lykeio A Pafos
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