Dr. Jun Zhu is an associate professor in the Department of Computer Science and Technology at Tsinghua University. His research interests lie in the development of statistical machine learning methods for solving scientific and engineering problems arising from artificial and biological learning, reasoning, and decision-making in the high-dimensional and dynamic worlds. Prof. Zhu received his Ph.D. in Computer Science from Tsinghua University. He did post-doctoral research in the Machine Learning Department at Carnegie Mellon University. His current work involves both the foundations of statistical learning, including theory and algorithms for probabilistic latent variable models, Bayesian nonparametrics, and large-margin learning; and the application of statistical learning in social network analysis, data mining, and multi-media data analysis. He is serving as an Area Chair at NIPS 2013 and a Local Chair at ICML 2014. He received Microsoft Research Fellow Award in 2007, China Computer Federation (CCF) Distinguished Dissertation Award in 2009, and the IEEE Intelligent Systems “AI’s 10 to Watch” Award in 2013.