Summary
Ryan Timms is a Senior Data Scientist and PhD-trained neuroscientist who applies probabilistic machine learning and variational inference to complex time-series neuroimaging (EEG, MEG, fMRI). With six years' industry and research experience spanning the BBC, UCL, and Oxford, he builds production-ready analytics while also designing and maintaining next-generation brain imaging hardware. His work bridges unsupervised time-series models and practical applications like MEG source reconstruction and transformer-based probabilistic forecasting. Based in Sheffield and funded by EPSRC/MRC during his doctorate, he combines deep methodological expertise with hands-on lab management and quality control—an uncommon mix that helps translate cutting-edge research into deployable systems.
7 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at University of Oxford
Master's degree, Physics, First Class (Honours), Master's degree, Physics, First Class (Honours) at University of Nottingham
Wallington County Grammar School
French