Alice Koniges is a computer scientist in Berkeley Lab’s Computational Research Division. She has a mixed background including application code development in physics, turbulence, adaptive mesh refinement and linear solvers, as well as programming model development and optimization. She is currently also working on machine learning algorithms. She represents Berkeley on OpenMP and MPI standards committees, and is Berkeley PI on the XPRESS project for HPX, in charge of applications. She is associate editor of International Journal of High Performance Computing, and serves on the program committees for HPC conferences such as SC, ISC, and IPDPS. She has more than 100 refereed papers. and a textbook, Industrial Strength Parallel Computing. For the past 20 years she has been giving HPC tutorials on programming languages and applications. Her PhD is from Princeton University in Mathematical Astrophysics, and she has an MS in Engineering from Princeton and a BA from UCSD.