Raffaele Marino

I am a theoretical physicist with a background on the theory of transport processes in non-equilibrium systems, where thermal noise typically plays a dominant role. I worked at The Hebrew University of Jerusalem under the supervision of Scott Kirkpatrick on stochastic optimisation, computational complexity, and graph theory. The aim of my research was developing new greedy algorithms and message passing algorithms for probabilistic graphical models. Today I am working at EPFL, in collaboration with Nicolas Macris, on fields of high dimensional statistics, modern inference, and machine learning. My position is funded by the ANR-FNS French-Swiss grant PAIL (Phase diagrams and Algorithms for Inference and Learning).