Chun-Nam Yu joined the Statistics and Learning Department in October 2012. He obtained his PhD in Computer Science in 2010 from Cornell University under the supervision of Prof. Thorsten Joachims. His thesis was titled 'Improved Training of Structural SVMs: Learning with Latent Variables and Kernels'. His research interests include structured output learning, graphical models, kernel methods, optimization, and biomedical applications. He has worked as a postdoctoral fellow under Prof. Russ Greiner at the Alberta Innovates Centre of Machine Learning (AICML) at the University of Alberta. He has also interned at Yahoo Research and Siemens Healthcare, working on various machine learning problems. He obtained his BA degree in Mathematics and Computer Science from Oxford University, UK, in 2004. He is currently working on problems related to smart grid electricity demand prediction and topic modeling. In his spare time he likes reading non-computer science books, playing ping-pong and soccer with friends.