Brian Van Essen

Brian Van Essen received the BS and MS degrees in electrical and computer engineering from Carnegie Mellon University, and the MS and PhD degrees in computer science and engineering from the University of Washington. He is the informatics group leader and a computer scientist with the Center for Applied Scientific Computing, Lawrence Livermore National Laboratory (LLNL). He is pursuing research in large-scale deep learning for scientific domains and training deep neural networks using high-performance computing systems. He is the project leader at the Livermore Big Artificial Neural Network open-source deep learning toolkit, and the LLNL lead for the ECP ExaLearn and CANDLE projects. Additionally, he co-leads an effort to map scientific machine learning applications to neural network accelerator co-processors as well as neuromorphic architectures.