Azeez Adebimpe is an ML expert for scientific computing with 11 years of experience translating advanced neuroscience and biomedical engineering research into production-ready AI/ML solutions. Currently at Bayer after leading ML architecture and strategic deployment efforts at Johnson & Johnson, he blends deep domain knowledge in neuroimaging and complex systems with practical applied prediction and feature engineering. His background spans academia (PhD and postdoc work at European and U.S. institutions) and industry, enabling him to bridge experimental science and scalable machine learning pipelines. He holds an MBA focused on AI, which complements his technical leadership with product and business acumen. Colleagues rely on him for turning noisy, multimodal scientific data into robust predictive models that drive decision-making in regulated environments.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Neuroscience, Doctor of Philosophy (PhD) Neuroscience at Université de Picardie Jules Verne (Amiens)
Master of Business Administration - MBA Artificial Intelligence, Master of Business Administration - MBA Artificial Intelligence at Nexford University
B Eng ( First Class) Electrical and Computer Engineering, B Eng ( First Class) Electrical and Computer Engineering at Federal University of Technology Minna
Master's degree International Master of Science in Biomedical Engineering, Master's degree International Master of Science in Biomedical Engineering at Ghent University
MSc Biomedical Engineering, MSc Biomedical Engineering at University of Groningen
Contributions:36 commits, 19 PRs, 14 pushes in 10 months
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Azeez Adebimpe - ML Expert For Scientific Computing at Bayer