My undergraduate studies were in mathematics at Ecole Normale Supérieure Paris-Saclay (formerly ENS Cachan) and at Université de Paris (formerly Paris 7 Diderot). I received a master's degree in artificial intelligence and applied mathematics from Ecole Normale Supérieure Paris-Saclay (then ENS Cachan) and a doctoral degree (Ph.D.) in statistics from Stanford University. After that, I took a short postdoctoral position at the Institute for Pure and Applied Mathematics and another one at the Mathematical Sciences Research Institute. I joined the University of California, San Diego as a faculty in 2005.
In recent years, I often teach the following courses
My research interests are in statistics, machine learning, and applied probability, and include (in no particular order) minimax hypothesis testing, multiple testing, clustering, dimensionality reduction, geometric inference, network analysis, signal/image denoising. With few exceptions, my papers are first posted on arxiv.org. I also maintain a Google Scholar profile.