News: We have just created a new research group: The Mad (Math and Data) group , with the focus to work on the mathematical and statistical foundations of High-dimensional Data Analysis and Machine Learning.
I am an Assistant Professor at Courant Institute, NYU, in the Department of Computer Science, Department of Mathematics (affiliated) and the Center for Data Science, since Fall 2016. I am currently on leave from UC Berkeley (Statistics Department).
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 Convolutional Networks, studying some of its theoretical properties and applications to several Computer Vision tasks.
Before that, I worked at FAIR (Facebook AI Research) in New York, working on Unsupervised Learning. Prior to that, I was a postdoctoral researcher at Courant Institute, NYU, under the supervision of Prof. Yann Lecun.
I completed my PhD in 2013 at Ecole Polytechnique, France, under the supervision of Prof. Stephane Mallat. Before my PhD I was a Research Engineer at a semi-conductor company, developing real-time video processing algorithms. Even before that, I did a MsC at Ecole Normale Superieure de Cachan in Applied Mathematics (MVA) and my undergrad at UPC (Universitat Politecnica de Catalunya, Barcelona) in both Mathematics and Telecommunication Engineering.
My CV is available here .