Sam Ade Jacobs is a Computer Scientist in the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL). He received his Ph.D. in Computer Science from Texas A&M University. Sam’s broad research experiences and interests include parallel computing, large-scale graph (data) analytics, scalable machine (deep and reinforcement) learning, and robotics.
Sam's current work focuses on developing new algorithms for large scale deep learning with applications in cancer drug discovery (the exascale CANDLE and CANCER moonshot projects), global nuclear non-proliferation analysis, and inertial confinement fusion (ICF) large-scale simulation and experimental data analysis. Sam’s work represents significant advances to the broader field of computational sciences as well as to (big) data science by providing and maintaining unique data analytics capabilities. His approaches and tools are designed to operate on massive supercomputers here at LLNL and are tested on those machines. Sam is a reviewer for a number of scientific publications and a member of IEEE, ACM, Industrial Internet Consortium (IIC), and African Robotics Network (AFRON).