Jamie Mair is a Research & Teaching Fellow at the University of Nottingham with eight years of experience at the intersection of machine learning and condensed matter physics. He teaches reinforcement learning on the Machine Learning in Science master's programme and supervises dissertations while maintaining an active research agenda bridging AI and physical sciences. His background spans academic research (PhD in ML/AI), applied roles in industry and defence (notably deep RL work at Dstl), and full-stack development for bespoke web projects. Jamie is also an open-source maintainer and lead developer of several Julia packages—demonstrating a practical bent for building tooling that connects simulation, experimentation and neural networks. Colleagues value him for translating complex theoretical ideas into teachable modules and reusable software.
8 years of coding experience
4 years of employment as a software developer
Bishop Vesey's Grammar School
Doctor of Philosophy - PhD, Machine Learning and Artificial Intelligence, Doctor of Philosophy - PhD, Machine Learning and Artificial Intelligence at University of Nottingham
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Jamie Mair - Research & Teaching Fellow at Self-employed