Mladen Kolar is an Associate Professor of Econometrics and Statistics at the University of Chicago Booth School of Business. His research is focused on high-dimensional statistical methods, graphical models, varying-coefficient models and data mining, driven by the need to uncover interesting and scientifically meaningful structures from observational data.
PhD in Machine Learning, 2013
Carnegie Mellon University
Diploma in Computer Engineering, 2006
University of Zagreb, Faculty of Electrical Engineering and Computing