My current research interests include statistical machine learning, high-dimensional statistics, algorithms and data structures, and concentration inequalities. Lately, I've been developing and analyzing algorithms for ranking, admixtures, matrix factorization, and collaborative filtering and crafting concentration inequalities for random matrices. I'm also organizing a working group on Statistics for Social Good. My interest lies, more generally, in problems that bridge applications and theory and that involve drawing inferences from large, structured datasets.
Quixotic though it may sound, I hope to use computer science and statistics to change the world for the better. If you have thoughts on how to do this, feel free to contact me.