I am an Assistant Professor of Computer Science, Data Science and Mathematics (affiliated) at the Courant Institute and the Center for Data Science, New York University. I belong to the CILVR (Computational Intelligence, Learning, Vision and Robotics) group and I co-founded the MaD (Math and Data) group. This semester (Spring 2020), I am also a Member of the Institute for Advanced Study, part of the Special Year on Optimization, Statistics and Theoretical Machine Learning.

My research interests touch several areas of Machine Learning, Signal Processing and High-Dimensional Statistics. In particular, in the past few years I have been working on Deep Learning, studying some of its theoretical properties. I am interested in generalisations of CNNs to more general geometries and their applications to Physics, Chemistry and Computational Complexity. I also recently started to study the theoretical aspects of Reinforcement Learning and its geometrical properties.