Dr. George Pau is a research scientist within the Earth and Environmental Sciences Area (EESA) of Lawrence Berkeley National Laboratory (LBNL). His current research focuses on the computational and modeling needs in the subsurface and environmental sciences. Dr. Pau is one of the main developers of TOUGH suite of codes designed to efficiently simulate multi-dimensional, multi-component, non-isothermal flow and transport processes in fractured porous media on multiple computing platforms. The latest version, TOUGH3, will be made available in March 2017. Dr. Pau is also an expert in using reduced order modeling techniques and machine learning methods to model scale-dependent processes, and to efficiently perform inverse modeling and uncertainty quantifications. In 2013, He was awarded the DOE’s early career research project award to develop accurate reduced order models for climate systems. Prior to joining the EESA, Dr. Pau was a Luis W. Alvarez postdoctoral fellow in the Computational Research Division. His postdoctoral research focused on the development of parallel adaptive mesh refinement algorithms for multiphase subsurface flow. Dr. Pau earned his PhD in Mechanical Engineering from Massachusetts Institute of Technology.