Summary
Stephen Lenzi is a research fellow and neuroscientist with nine years’ experience probing network-level brain dynamics using electrophysiology, imaging and computational modelling. Based at the Sainsbury Wellcome Centre in the Margrie Lab after completing a PhD at UCL, he combines in vivo and slice electrophysiology, two-photon and calcium imaging, optogenetic/GABA uncaging, and custom Python/MATLAB analysis pipelines to study circuit function. His background spans rigorous experimental technique development from developmental olfactory cortex studies to adult whole-cell recordings, and he has contributed science writing across healthcare and materials outlets. Comfortable at the interface of wet lab and computation, he routinely turns complex datasets into mechanistic models of network activity. Curious and multidisciplinary, he brings both hands-on experimental skill and reproducible data tooling to drive hypothesis-led neuroscience.
9 years of coding experience
4 years of employment as a software developer
Master of Arts (MA), Natural Sciences, 2.1, Master of Arts (MA), Natural Sciences, 2.1 at University of Cambridge
Master's Degree, Medical Neuroscience, 1.3, Master's Degree, Medical Neuroscience, 1.3 at Charité Universitätsmedizin
University College London
English, German