Gautham Dharuman is a Postdoctoral Research Staff Member in Computational Materials Science Group in Lawrence Livermore National Laboratory. His research interests are broadly in molecular dynamics simulations at scale, machine learning, multiscale modeling, and high performance computing. In particular, he focusses on methods and simulations for correlated charged particle systems such as those found in non-ideal plasmas and biomolecular systems. 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 PhD (dual) in Computational Mathematics, Science and Engineering and Electrical Engineering from Michigan State University in May 2018, advised by Prof. Michael S. Murillo and co-advised by Prof. John P. Verboncoeur.