I am a professor at the University of California, San Diego in the Department of Mathematics and at the Halıcıoğlu Data Science Institute. I specialize in statistics and machine learning.

My undergraduate studies were in pure 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 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.

My office is #5141 in the Applied Physics & Mathematics (AP&M) building.

For electronic mail, postal mail, and fax, see the Mathematics Department's directory and contact information.

I mostly teach statistics courses for the Department of Mathematics. See the Planned Course Offerings for courses I am currently teaching.

I now use Canvas for all the courses I teach.

I wrote a textbook introducing probability and statistics for the "mathematically literate". It comes with a companion R notebook. (The online version of the textbook available here is in ebook format. The printed version will be published by Cambridge University Press.)

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.

- National Science Foundation (DMS 1916071, DMS 1513465, DMS 1223137, DMS 1120888, DMS 0915160, DMS 0603890)
- Office of Naval Research (N00014-09-1-0258, N00014-13-1-0257)
- Hellman Fellowship (2009-2010)