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 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.

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.

In recent years, I often teach the following courses

*Math 185: Introduction to Computational Statistics**Math 282B: Applied Statistics**Math 287B: Multivariate Statistics*

I wrote a textbook (published by Cambridge University Press) introducing probability and statistics for the "mathematically literate". It comes with a companion R notebook.

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.

- 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)