Jon Janet is a Director at AstraZeneca who applies state-of-the-art machine learning and computational chemistry to accelerate drug discovery, with a decade of experience bridging data, simulation and uncertainty quantification. He completed a Ph.D. in Computational and Chemical Engineering at MIT after formative stints in computational mathematics across Europe and a South African chemical engineering background. Jon has progressed through technical and leadership roles at AstraZeneca, translating research-grade ML into production science for novel materials and molecules. He is particularly interested in combining simulation-driven design with probabilistic ML to make decisions under uncertainty—a skill honed on projects ranging from CFD nucleation modeling to systems-level teaching and tutoring. Based in Gothenburg, he brings both deep academic rigor and practical multidisciplinary engineering experience to tackle hard scientific problems.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science in Engineering, Honours, Chemical Engineering, Bachelor of Science in Engineering, Honours, Chemical Engineering at University of Cape Town
Master’s Degree, Computational and Applied Mathematics, A, Master’s Degree, Computational and Applied Mathematics, A at KTH Royal Institute of Technology
Doctor of Philosophy (Ph.D.), Computational and Chemical Engineering, Doctor of Philosophy (Ph.D.), Computational and Chemical Engineering at Massachusetts Institute of Technology
Master’s Degree, Scientific Computing, 1.00, Master’s Degree, Scientific Computing, 1.00 at Technische Universität Berlin
Contributions:47 pushes, 1 branch in 3 years 9 months
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