I am an Assistant Professor in Stanford's Computer Science Department. Some of my recent projects focus on designing algorithms for accurately inferring information about complex distributions, when given surprisingly little data. More broadly, my research interests are in algorithms, learning, applied probability, and statistics, and evolution. Prior to joining Stanford, I was a postdoc at Microsoft Research, New England, and received my PhD from Berkeley in Computer Science, and BA in Math from Harvard.
My office is 470 Gates, and my office hours this quarter are Thursdays, 3pm-4:15pm.
I organize the Stanford Theory Seminar, if you are visiting the area and would like to give a talk, please ping me.
Ilias Diakonikolas and I organized a workshop at STOC'14 on "Efficient Distribution Estimation"---see here for slides from all the talks.
I am extremely lucky to advise the following students: