Luca Ganassali

Welcome to my personal webpage!

About me

Since October 2022, I am a postdoctoral researcher at EPFL in BAN chair led by Prof. Negar Kiyavash. Prior to that, I was a PhD student at Inria Paris in the Dyogene team, which is a joint team between Inria and ENS Paris, under the supervision of Laurent Massoulié and Marc Lelarge. Here is a short CV.

My research interests lie mainly within statistics, probability theory, graph theory and machine learning. I am interested in studying procedures for learning tasks and inference problems with geometry, symmetries or invariance. More specifically, I've been looking at inference problems in graphs and matrices, such as graph alignment, investigating the information-theoretical and computational thresholds, as well as designing and analyzing new algorithms on random instances to give a better understanding of the regimes in which they may suceed.

Other current topics I'm interested in are graph neural networks, statistical learning with optimal transport, and causality.


Email adress: luca [dot] ganassali [at] epfl [dot] ch

Physical adress: Office 316, Building ODY, EPFL, Lausanne.

Publications and preprints

(Google Scholar, arXiv)

Conferences, workshops, talks