Peter Radchenko

Peter Radchenko is an Associate Professor of Business Analytics at the University of Sydney Business School.Prior to joining the University of Sydney in 2017, he held academic positions at the University of Chicago and in the Marshall School of Business at the University of Southern California.Peter 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.Such large scale problems fall under the general framework of high-dimensional statistics and statistical machine learning, which are the main areas of Peter’s research.In particular, Peter has done extensive work in the area of high-dimensional regression, where the number of predictors is large relative to the number of observations. He has also worked on the problems of large-scale cluster analysis, including estimating the number of clusters and feature screening. Another area of Peter’s research is functional data analysis, in which the measurements of a function or curve are treated as a single observation of the function as a whole. Peter's research papers have been published in the Journal of the Royal Statistical Society, the Annals of Statistics, the Journal of the American Statistical Association, Biometrika, and the Annals of Applied Statistics.

Education

• Ph.D. Yale University (1999 — 2004)
• M.S. equiv. Lomonosov Moscow State University (MSU) (1994 — 1999)

Companies

• Associate Professor of Business Analytics The University of Sydney Business School (2017)
• Assistant Professor University of Southern California - Marshall School of Business (2006 — 2017)
• Assistant Professor University of Chicago (2004 — 2006)

Skills

• Statistics
• Microsoft Office
• Research

Other

Data Analysis