Adebayo Adeleke is a postdoctoral researcher and computational chemist with nine years of experience designing next-generation porous and functional materials for energy-efficient gas separations. He combines first-principles methods, molecular dynamics, metadynamics, and crystal structure prediction to map phase diagrams, equations of state, and non-covalent interactions under ambient and extreme conditions. Based at Dalhousie University, he researches dispersion effects in compressed metals and tailors surface materials for energy harvesting and solar applications, bridging fundamental theory with materials design. Proficient in Python, ML for materials, and full-stack development languages, he brings both deep theoretical physics training (PhD in theoretical condensed matter physics) and practical HPC experience from national labs. Less obvious: his background includes teaching and hands-on testing of large-scale HPC systems, giving him strong communication skills and operational familiarity with high-performance computing environments.
9 years of coding experience
Bachelor’s Degree, Engineering Physics/Applied Physics, First Class (Honours), Bachelor’s Degree, Engineering Physics/Applied Physics, First Class (Honours) at Federal University of Technology Minna
National Diploma, Science Laboratory Technology, Distinction, National Diploma, Science Laboratory Technology, Distinction at Federal Polytechnic Offa
Doctor of Philosophy - Ph.D., Physics and Engineering Physics (Theoretical Condensed Matter Physics), Doctor of Philosophy - Ph.D., Physics and Engineering Physics (Theoretical Condensed Matter Physics) at University of Saskatchewan
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Adebayo Adeleke - Postdoctoral Researcher at Dalhousie University