J. Zico Kolter zkolter@cs.cmu.edu

Assistant Professor (CSD, ISR, affiliated MLD)
School of Computer Science
Carnegie Mellon University

Computer Science Department, GHC 7115
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213

My research focuses on computational approaches to sustainable energy domains, and core challenges arising in machine learning, optimization, and control in these areas. On the application side, my interests range from improving the efficiency of generation, controlling power in smart grids, and analyzing energy consumption in homes and buildings. To attack these problems I focus on techniques from machine learning, reinforcement learning, time series prediction, approximate inference, and convex optimization, amongst others.