Stefano is a tenured researcher at the École Normale Supérieure; where he leads the Human Reinforcement Learning team. Before that, he studied pharmaceutical biotech and cognitive neuroscience, obtained a PhD from the Pitié-Salpêtrière, and worked as a post-doc at UCL.
He is interested in studying value-based learning and decision-making at the computational and neural level. Basically, his modus operandi consists in smashing otherwise elegant reinforcement learning models, so that they can account for human behavioural biases. In his spare time, he enjoys wondering about the epistemological foundations of decision-making research.
https://lnc2.dec.ens.fr/fr/human-reinforcement-learning?lang=en