Dr Alessandro De Palma

Alessandro De Palma's research interests lie at the intersection of applied optimisation and deep learning, with a focus on Trustworthy AI.

A large body of his work leverages network over-approximations to formally prove (neural network verification) and enforce (robust training) properties pertaining to the safety and reliability of neural networks.

Alessandro holds a PhD from the University of Oxford and previously worked as postdoctoral researcher at Imperial College London and Inria Paris.