Dr Giovanni Piccioli is a Postdoctoral Researcher in the Department of Mathematics, King’s College London. 

He received his bachelor and master’s degrees from Sapienza Università di Roma and graduated in 2020 with a thesis on high dimensional inference in the angular synchronization problem. He then earned his PhD from EPFL in 2024. During his PhD, he worked in the Statistical Physics of Computation laboratory, where he focused on developing algorithms for sampling, inference, and optimization in disordered systems. His PhD work spans multiple domains including Monte Carlo methods for Bayesian learning in neural networks, algorithms for traffic optimization on graphs, message-passing algorithms for graph alignment and low-rank matrix denoising.

In his current research, he applies quantitative techniques from machine learning, physics, and statistics to study complex legal systems and other interdisciplinary applications.

Research interests

• Disordered systems
• Complexity in legal systems
• Bayesian learning in neural networks
• Traffic assignment

Further information

• Google Scholar