Summary
Eugenio Piasini is an Associate Professor who blends Bayesian statistics, machine learning, and neuroscience to unravel how neuronal circuits encode perception and behavior. With 15 years of experience and a track record of high-impact publications (Nature, Neuron, NeurIPS, ICLR), he builds bespoke algorithms and open-source tools when existing methods fall short, having led development of three libraries and an online neuroinformatics platform. His work spans theory and experiment—advancing information-theoretic analyses of neural codes and developing deep generative models applied to electrophysiology and imaging in behaving animals. A collaborative scientist, he has partnered with over a dozen research groups across Europe and the USA and translates insights into applied solutions, from capacity prediction models for public transport to efficient implementations of the Generalized Information Bottleneck. He holds a PhD from UCL and master’s and bachelor’s degrees with highest honors in physics from Italian universities, reflecting a rare combination of rigorous theoretical training and hands-on computational craftsmanship.
15 years of coding experience
6 years of employment as a software developer
Bachelor's Degree, Physics, 110/110 cum laude, Bachelor's Degree, Physics, 110/110 cum laude at Università degli Studi di Milano-Bicocca
Master's Degree, Theoretical Physics, 110/110 cum laude, Master's Degree, Theoretical Physics, 110/110 cum laude at Università degli Studi di Pavia
University College London
Italian, English, French