2018 DOE CSGF Annual Program Review Presentations

Sunday, July 15 – Thursday, July 19
Crystal Gateway Marriott Hotel, Arlington, VA

Monday, July 16
Keynote
James Sethian Professor of Mathematics and James Simons Chair in Mathematics, University of California, Berkeley; Director, Center for Advanced Mathematics for Energy Research Applications (CAMERA), Lawrence Berkeley National Laboratory The Center for Advanced Mathematics for Energy Research Applications
(Not Released)
Session I
Alnur Ali Carnegie Mellon University Distributed Sparse Inverse Covariance Estimation from fMRI Data for Segmenting the Human Brain
Hilary Egan University of Colorado Ion Loss From Exoplanets
Gerald Wang Massachusetts Institute of Technology Engineering the Relationship Between Fluid Structure and Transport Under Nanoconfinement
Kyle Felker Princeton University Computational Efficiency of High-order Finite Volume Methods for Magnetohydrodynamics
2018 Howes Scholar Award Presentation
Jeffrey Hittinger Acting Deputy Division Leader, Scientific Computing Group Leader and Computational Scientist, Center for Applied Scientific Computing, Lawrence Livermore National Laboratory; DOE CSGF Alumnus Announcement of 2018 Frederick Howes Scholars
Seth Davidovits Postdoctoral Research Fellow, Princeton University; DOE CSGF Alumnus Predicting and Utilizing Turbulence in Compressing Plasma
Session II
Julian Kates-Harbeck Harvard University Predicting Disruptions in Magnetic Confinement Fusion Reactors Via Deep Learning at the Largest Scale
(Release Pending)
Hannah De Jong Stanford University Saturation Mutagenesis of MYH7 to Identify Hypertrophy-causing Variants
(Release Pending)
Ryan McKinnon Massachusetts Institute of Technology Simulating fluid-solid interaction in astrophysical settings
Tuesday, July 17
Alumni Keynote
Paul Sutter Astrophysicist, The Ohio State University; Chief Scientist, COSI Science Center; DOE CSGF Alumnus Let's Talk About Talking About Science
Session III
Jay Stotsky University of Colorado Computational and Mathematical Studies of the Biomechanics of Biofilms
Joy Yang Massachusetts Institute of Technology Statistically Identifying Mechanisms of Phage-host Interactions in the Nahant Collection
Session IV
Makurram Tahir Massachusetts Institute of Technology Molecular Design of Protein-mimetic Nanostructures
(Release Pending)
Aditi Krishnapriyan Stanford University Engineering Kinetics for Energy-Efficient Phase Change Materials: Application to Two-Dimensional MoS2
(Release Pending)
Alex Kell Massachusetts Institute of Technology Invariant and Hierarchical Computation in Human Auditory Cortex
Thomas Thompson Harvard University The Earth isn't Flat: The Large Influence of Topography on Geodetic Fault Slip Imaging
Session V
Kathleen Weichman University of California, San Diego Ion Acceleration by Relativistic-intensity Lasers With Magnetized Electron Focusing
Adam Sealfon Massachusetts Institute of Technology Population Stability: Regulating Size in the Presence of an Adversary
Adam Riesselman Harvard University Predicting the Effects of Mutations With Deep Generative Models
Thomas Anderson California Institute of Technology The Fast Hybrid Method for Wave Scattering: New Advances in Time-Domain Integral Equations
Session VI
Danielle Rager Carnegie Mellon University Relating Visual Working Memory Computations to Network Architecture in the Brain
Jordan Hoffmann Harvard University How to Build a Bug
(Release Pending)
Wednesday, July 18
Invited Talks
Katherine Lewis Cognitive Simulation Project Leader, Lawrence Livermore National Laboratory Integrating Machine Learning with Simulations at Lawrence Livermore National Laboratory
Michael Heroux Director of Software Technology, DOE Exascale Computing Project; Senior Scientist, Sandia National Laboratories; and Scientist in Residence, St. John's University, Minnesota Building the Exascale Software Stack: Challenges and Strategies