Rowan Brackston is a Senior Engineer with nine years of experience blending control theory, stochastic processes and machine learning to deliver practical automation and modelling solutions. With a PhD from Imperial College and an M.Eng. from Cambridge, he has moved from academic research in bacterial regulatory processes to leading algorithm and system development for autonomous greenhouse and energy modelling products. He has a track record of turning first-principles insight into deployed technology—publishing in top journals and securing funding for early-stage wearable tech—while leading full development cycles in multidisciplinary teams. Comfortable across theoretical analysis and production software, he is adept at supervising and translating complex science for experimentalists and product teams. Currently at Runna after heading energy modelling at Zenobē, he brings rigorous modelling discipline to commercial engineering challenges. An often-overlooked strength is his ability to apply convex optimisation and Bayesian inference methods developed in microbiology to industrial automation problems, yielding robust, interpretable algorithms.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering at Imperial College London
Master of Engineering (M.Eng.), Bachelor of Arts (B.A.), Aerospace and Aerothermal Engineering, First, Master of Engineering (M.Eng.), Bachelor of Arts (B.A.), Aerospace and Aerothermal Engineering, First at University of Cambridge
Contributions:51 pushes, 1 branch in 1 year 4 months
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