Theo Brown is a PhD student and researcher bridging machine learning, control, and nuclear fusion, currently based at UCL with visiting roles at UKAEA and DeepMind. He designs scenario modelling and control strategies for next-generation fusion reactors while developing the TORAX plasma simulator and AI workflows with DeepMind’s fusion team. With 11 years’ experience and an MEng from Cambridge, he combines rigorous academic training with hands-on engineering in simulation, Bayesian inference, and optimisation. He has also advised UK government-focused projects through DeepMind’s Impact Accelerator, helping unlock scientific data for AI — a role that highlights his ability to translate domain expertise into policy-relevant technical guidance.
11 years of coding experience
Master of Engineering - MEng Information Engineering, Master of Engineering - MEng Information Engineering at University of Cambridge
A-levels & GCSEs, A-levels & GCSEs at Colyton Grammar School
Contributions:99 reviews, 35 PRs, 240 pushes in 1 year 11 months
jaxsimulation
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