I am a Research Scientist at Google Brain, where I mainly work on problems in deep learning, reinforcement learning, robotics, and probabilistic machine learning. My recent research focuses on scalable RL methods that could solve difficult continuous control problems in the real-world, which have been covered by Google Research Blogpost and MIT Technology Review.
I completed PhD in Machine Learning at the University of Cambridge and the Max Planck Institute for Intelligent Systems in Tübingen, where I was co-supervised by Richard E. Turner, Zoubin Ghahramani, and Bernhard Schölkopf. During my PhD, I also collaborated closely with Sergey Levine at UC Berkeley/Google Brain and Timothy Lillicrap at DeepMind. I hold my B.ASc. in Engineering Science from the University of Toronto, where I did my thesis with Geoffrey Hinton in distributed training of neural networks using evolutionary algorithms. I also had great fun time working with Steve Mann, developing real-time HDR capture for wearable cameras/displays. I interned at Google Brain hosted by Ilya Sutskever and Vincent Vanhoucke. I also volunteered as a Lab Scientist at Creative Destruction Lab, one of the leading tech-startup incubators in Canada. My PhD was funded by Cambridge-Tübingen PhD Fellowship, NSERC and Google Focused Research Award.
I am a Japan-born Chinese Canadian, and I speak, read, and write in three languages. Having lived in Japan, China, Canada, the US, the UK, and Germany, I go under multiple names: Shane Gu, Shixiang Gu, 顾世翔, 顧世翔(ぐう せいしょう).