معرفی
Carlo Lucibello is an Assistant Professor of Computer Science at Bocconi University since 2018. He holds a PhD in Physics from Sapienza University (2015), supervised by Giorgio Parisi and Federico Ricci-Tersenghi. His research bridges statistical physics and machine learning, focusing on analytical methods for neural networks and optimization problems.
- Roles: Faculty member in Computing Sciences Department
- Affiliations: Bocconi University
- Education: PhD in Physics from Sapienza University (2015)
Research interests include neural networks, statistical inference, disordered systems, and combinatorial optimization. He contributes to open-source projects like GraphNeuralNetworks.jl, Flux.jl, and Zygote.jl for Julia. Teaching includes courses on machine learning, programming, and complex systems. He actively develops physics-inspired algorithms for learning and optimization.
Publications span topics in statistical physics and machine learning, with recent work on associative memory capacity and neural network theory. His collaborative projects include contributions to Julia's ecosystem and theoretical advancements in message-passing algorithms.
