Zhibing Zhao is a Ph.D. student at the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). He received his master’s degree from the University of Connecticut and his bachelor’s degree from Tsinghua University, both in Electrical Engineering. His research focuses on efficient learning (statistical inference) of ranking models, in particular, the Random Utility Models (including the Plackett-Luce model) and their mixtures. His strength lies in variance characterization and complexity analysis of inference algorithms, and designing new algorithms that are both statistically and computationally efficient.