Adrian is a physicist, astronomer, and computational scientist working at the intersection of data, computing, and statistical methods for cosmological inference.

Salman has research activities in physical science, ranging from high energy physics to cosmology. He also leads projects in the areas of algorithms & computational methods, high-performance computing, and advanced statistical methods & machine learning.

Marta García has a background in computational fluid dynamics (CFD). Her research interests focus on CFD, high-performance computing, neuroscience, decision-making strategies, project management and training.

Theoretical and Computational Chemistry

Graham Fletcher has a background in quantum chemistry and supercomputing. His research interests focus on the development of highly scalable methods and algorithms for the accurate and reliable prediction of chemical phenomena.

Shashi specializes in high-fidelity multiphysics/multiscale simulations and reduced-order modeling in multi-disciplinary areas of science and engineering using supercomputers.

Ramesh is interested in simulating the Navier-Stokes and Boltzmann equations on large (very large) computing platforms.

James specializes in quantum field theory and lattice simulation methods, with an emphasis on lattice QCD.  He also has interests in quantum computing, HPC, sparse linear algebra, applying ML methods to Hybrid Monte Carlo, and random matrix theory.

Development of sampling methods in computational chemistry and molecular simulations; computer simulations of small molecule recognition processes; development of HPC molecular dynamics software.