Prior to joining the University of Sydney in 2017, he held academic positions at the University of Chicago and the University of Southern California. He has a PhD in Statistics from Yale University, and an undergraduate degree in Mathematics and Applied Mathematics, from the Lomonosov Moscow State University. Peter Radchenko's primary research focus is on developing new methodology for dealing with massive and complex modern data. In particular, he has worked extensively in the area of high-dimensional regression, where the number of predictors is large relative to the number of observations.