Dr. Zhao Zhang is a computer scientist in the Data Intensive Computing group at TACC. His research interest is to build computer systems to enable and facilitate scientific research in parallel and distributed computing environments. Dr. Zhang’s current work focuses on scalable deep learning on supercomputers. His recent work has enabled efficient deep learning on thousands of processors. Dr. Zhang supports users on various software and hardware combinations at TACC. Dr. Zhang has rich collaboration experience with domain scientists from the areas of astronomy, bioinformatics, to earth science. Dr. Zhang joins TACC in 2016. Before that, he was a joint-postdoc researcher in AMPLab and Berkeley Institute for Data Science at University of California, Berkeley. He received Ph.D from the Department of Computer Science at University of Chicago in 2014.