معرفی
Dr Giovanni Piccioli is a Postdoctoral Researcher in the Department of Mathematics at King's College London, within the Faculty of Natural, Mathematical & Engineering Sciences. His research applies quantitative techniques from machine learning, physics, and statistics to study complex legal systems and other interdisciplinary applications.
His educational background includes:
- Bachelor and Master's degrees from Sapienza Università di Roma, graduating in 2020 with a thesis on high dimensional inference in the angular synchronization problem.
- PhD from EPFL in 2024, conducted in the Statistical Physics of Computation laboratory.
Dr Piccioli's research focuses on disordered systems, complexity in legal systems, Bayesian learning in neural networks, and traffic assignment. His work spans multiple domains including Monte Carlo methods for Bayesian learning, algorithms for traffic optimization on graphs, and message-passing algorithms for graph alignment and low-rank matrix denoising. He is a member of the Disordered Systems group at King's, which is at the forefront of research in statistical mechanics of disordered and complex systems.
He is based at the Strand Building, Strand Campus, London, WC2R 2LS.
