I started PhD in Machine Learning under Cambridge-Tübingen PhD Fellowship in the fall 2014, where I am co-supervised by Richard E. Turner and Zoubin Ghahramani at University of Cambridge, and Bernhard Schölkopf at the Max Planck Institute for Intelligent Systems in Tübingen. I also collaborate closely with Sergey Levine at UC Berkeley/Google Brain and Timothy Lillicrap at DeepMind. I completed my B.ASc. in Engineering Science from the University of Toronto, where I did my thesis with Prof. Geoffrey Hinton in distributed training of neural networks using evolutionary algorithms. I also had a great fortune and fun time working with Prof. Steve Mann, developing real-time HDR capture for wearable cameras/displays. I previously interned at Google Brain hosted by Ilya Sutskever and Vincent Vanhoucke. My PhD is funded by NSERC and Google Focused Research Award on Reliable and Robust Deep Reinforcement Learning. I am a member of Jesus College, Cambridge. I am a Lab Scientist at Creative Destruction Lab, one of the leading tech-startup incubators in Canada. I am looking into machine learning involving sequential processing, such as reinforcement learning and sequence prediction. I currently focus on learning-driven approaches for robotics, which have been covered by Google Research Blogpost and MIT Technology Review. I also work on deep learning, probabilistic models, and generative models.

reinforcement learning deep learning robotics approximate inference Bayesian methods