Sungjin Ahn is currently a postdoctoral researcher at the University of Montreal, working with Prof. Yoshua Bengio on Deep Learning and its applications. He received his Ph.D. in Computer Science at the University of California, Irvine, under the supervision of Prof. Max Welling. During his Ph.D. program, He co-developed the Stochastic Gradient MCMC algorithms and awarded best paper awards from the International Conference on Machine Learning in 2012 and the ParLearning 2016, respectively. His research interests include deep learning, reinforcement learning, and approximate Bayesian inference.