He has contributed to TensorFlow by improving the expressiveness and consistency of the Python API to ease the learning curve for NumPy users. In addition he has been leading the effort to remain responsive to the open source GitHub issues community. His current research interests center on automated construction of machine learning models. Previously he worked in physical simulation and rendering techniques for film at Walt Disney Animation Studios and Industrial Light and Magic. He holds a Ph.D. in Computer Science from Stanford University.