Joe is a research software engineer with a neuroscience background, working at the SWC to provide streamlined pipelines for in-vivo electrophysiology analysis. He is interested in how brain changes during learning shape our behaviour.
He obtained a PhD in behavioural neurosciences from the University of Sussex with Eisuke Koya, selectively targeting neuronal ensembles activated by food- and drug- cues that drive appetitive behaviours. He then completed a post-doc at Cambridge University with Zoe Kourtzi, where he used brain imaging methods in humans to interrogate the interactions between neurochemical, anatomical and functional plasticity during visual learning. During his time as a researcher, he began to enjoy software deployment, in particular creating easy-to-use software for data analysis, such as the patch-clamp analysis software Easy Electrophysiology.