2019 DOE CSGF Annual Program Review Presentations

Sunday, July 14 – Thursday, July 18
Crystal Gateway Marriott Hotel, Arlington, VA

Monday, July 15
Steve Binkley Principal Deputy Director for Science Programs, Office of Science, U.S. Department of Energy DOE Office of Science Welcome
Charles P. Verdon Deputy Administrator for Defense Programs, National Nuclear Security Administration, U.S. Department of Energy DOE NNSA Welcome
Jarrod McClean Senior Research Scientist, Quantum Artificial Intelligence Lab, Google; DOE CSGF Alumnus Quantum Computation for Science
Session I
Casey Berger University of North Carolina, Chapel Hill Complex Langevin in Nonrelativistic Rotating Bosonic Systems
Maximilian Bremer University of Texas Simulation of Shallow Water Flows Using HPX
Mario Ortega University of California, Berkeley A Rayleigh Quotient Fixed-Point Method for Alpha-Eigenvalue Problems
Helena Qi Massachusetts Institute of Technology Large-Scale Analysis of Electronic Effects in Protein Structure
Howes Scholar Award Presentation
Jeffrey Hittinger Director and Division Leader, Center for Applied Scientific Computing, Lawrence Livermore National Laboratory; DOE CSGF Alumnus Announcement of 2019 Frederick Howes Scholars
Sarah Middleton Computational Biologist, Functional Genomics, GlaxoSmithKline; DOE CSGF Alumna Single Cell Sequencing for Drug Discovery: Applications and Challenges
Adam Riesselman Machine Learning – Lead Engineer, insitro; DOE CSGF Alumnus Reasoning About Biology With Data-Driven Approaches
Chelsea Harris Research Associate, Michigan State University; DOE CSGF Alumna Making Supernovae with Jets
Tuesday, July 16
Wayne Joubert Computational Scientist, Oak Ridge Leadership Computing Facility, Oak Ridge National Laboratory Using Innovative Compute Hardware for Breakthrough Science: Computational Genomics at Exascale With the CoMet Application
Session II
Nicholas Boffi Harvard University Parallel Three-Dimensional Simulations of Quasi-Static Elastoplastic Solids
Hannah Klion University of California, Berkeley The Multi-D Effects of Jets on Neutron Star Merger Light Curves
Session III
Emmet Cleary California Institute of Technology Bayesian Inversion of Climate Models (Not Released)
Richard Barnes University of California, Berkeley Hydrology at the Largest and Longest Scales
Alexander Williams Stanford University Examining Large-Scale Neural Data With Single-Trial Resolution
Zane Crawford Michigan State University A Novel Formulation of a Finite Element-Based Particle-in-Cell Method
Session IV
Noah Mandell Princeton University Electromagnetic Gyrokinetic Turbulence Simulations in the Tokamak Edge With Discontinuous Galerkin Methods
Ian Dunn Columbia University Exact Simulations of Electron-Phonon Dynamics: Direct and Iterative Projection Approaches for Removing Instabilities (Not Released)
Carson Kent Stanford University Optimization in the Space of Measures: Machine Learning Using Optimal Transport