David is a computational scientist in the National Center for Computational Sciences Division at ORNL, where he works to develop mathematical and computational theory jointly with methods for multiscale modeling using HPC. He obtained his Ph.D. in Physical Chemistry from University of Cincinnati in 2009 where he worked with Prof. Thomas Beck on applying Bayes' theorem to the free energy problem with applications to multiscale modeling of fluids and interface chemistry. After a post-doctoral fellowship at Sandia National Labs working on modeling of desalination and ion conduction with Dr. Susan Rempe, he worked as Assistant Professor of Chemistry from 2013-2019. Over that time, he has published on a range of topics including statistical mechanical methods in liquids, biomolecules, and quantum models, small nonequilibrium systems, hydration, and finite-size effects in nanoscale devices.
ACM Gordon Bell COVID Finalist