Materials Science Division
|Ph.D.||Dual: Computational Science and Electrical Engineering|
– Michigan State University
Gautham Dharuman joined LLNL as a Postdoctoral Research Staff Member in the Computational Materials Science Group in June 2018. His research interests are broadly in molecular dynamics simulations at scale, multiscale modeling, high performance computing and machine learning. In particular, he focusses on methods and simulations for correlated charged particle systems such as those found in non-ideal plasmas and in biomolecular systems.
At LLNL, he is part of the pilot project on RAS protein that aims to understand RAS-driven cancer initiation and growth through multiscale simulations aided by machine learning to enable predictions at unprecedented length- and time-scales. His efforts include physics guided unsupervised learning, consistency studies of simulations spread across scales, and high-performant code development.
Prior to joining LLNL, he received his Ph.D. (dual) in Computational Science and Electrical Engineering from Michigan State University in May 2018, advised by Professor Michael S. Murillo.