Jie Tan

Software Engineer
Google
jietan AT google.com

I joined the Brain team at Google, working on deep learning, reinforcement learning and robotics.

I defended my PhD thesis on October 2015 and joined Lytro. I was a Member of Technical Staff at the Computational Imaging group at Lytro, working on computer vision, light field processing and visual effects.

During my PhD, I studied in the Computer Graphics Laboratory at Georgia Tech. I worked with Greg Turk and Karen Liu.

My research focused on developing computational tools to understand, simulate and control human and animal locomotion in a complex environment. I developed fast and stable computer programs to simulate complex dynamic systems, such as fluid, soft body and articulated rigid bodies. I am interested in applying optimal control and machine learning techniques to enable computers to automatically learn locomotion skills inside a complex physical environment.

I am also interested in transferring the controllers that are learned in simulations to real robots. Controllers learned in a simulation usually perform poorly on real robots due to the discrepancies between the simulated and the real system. I am developing tools to understand and model such discrepancies. I augmented the physical simulation using real-world data, which not only increases the simulation accuracy, but also improves the real-world performance of the controllers.

Selected Publications