Aman Majid is an energy modeller and analyst with eight years of experience focused on accelerating the clean energy transition through data-driven infrastructure analysis. He co-founded Bayesian Energy and currently partners with TransitionZero in London while serving as an Honorary Research Associate in Sustainable Infrastructure Systems at the University of Oxford. His background combines a PhD from Oxford and an MEng from Sheffield with hands-on modelling of critical systems across multiple geographies. Known for translating complex system dynamics into practical policy and investment insights, he bridges academic rigor and startup pragmatism. Aman’s work emphasizes probabilistic and Bayesian approaches to energy forecasting, reflecting a preference for uncertainty-aware decision support. Based in London, he builds tools and teams that make decarbonization pathways quantifiable and actionable.
8 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Oxford
Master of Engineering - MEng, Master of Engineering - MEng at The University of Sheffield
Contributions:1 release, 45 commits, 5 pushes in 7 months
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