He was a research scientist at Google Brain, where he worked on computer vision, deep learning, and the TensorFlow framework.He obtained my Ph.D. in Computer Science at UC Berkeley, advised by Prof. Trevor Darrell. During his graduate study he've worked/interned at the National University of Singapore, Microsoft Research Asia, NEC Labs America, and Google Research. He obtained his bachelor and master degrees from Tsinghua University, China.He have a track record of creating and contributing to open source libraries. In particular, he have been an active figure in the recent years' AI software stack designs: he is the creator of Caffe, which is now a BVLC maintained, open-source deep learning framework. He've worked on the TensorFlow project at Google Brain.Recently, he has created and led the Caffe2 effort, which is one of the first deep learning frameworks to simultaneously provide high-performance AI capability on all major platforms (Cloud CPU/GPU, mobile CPU/GPU, embedded systems, etc.). Although he code less nowadays, he still serve as a happy contributor to the open source community with full heart. His major interest is on the design and evolution of AI hardware and software stack, joining the cutting edge research with the conventional wisdom of computer science. Solutions he created have been widely adopted by the industry, some serving as the de-facto standard of various hardware and software.