Summary
Oluwole Oyebamiji is a DeepMind Academic Fellow at the University of Birmingham with a decade of experience applying probabilistic modelling, numerical optimization, and advanced computational methods to high-dimensional spatio-temporal problems. He blends rigorous academic training—a PhD in Environment, Earth & Ecosystems and an MPhil in Mathematics and Statistics—with applied roles in academia and industry, including senior statistician work at HR Wallingford. His research trajectory shows a rare interdisciplinary focus, translating theoretical machine learning and data mining advances into practical solutions for environmental and earth-system applications. Known for bridging theory and practice, he often tackles computationally intensive inference challenges that require bespoke numerical techniques rather than off-the-shelf tools. Based in South Oxfordshire, he brings both deep quantitative expertise and field-aware perspective to complex data-driven problems.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Environment, Earth & Ecosystems, Doctor of Philosophy (Ph.D.), Environment, Earth & Ecosystems at The Open University
Master of Philosophy (MPhil), Mathematics and Statistics, Master of Philosophy (MPhil), Mathematics and Statistics at University of Strathclyde
Master's Degree, Mathematics, Distinction, Master's Degree, Mathematics, Distinction at Obafemi Awolowo University