Harsh is a computer scientist at the Center of Applied Computing (CASC) at LLNL. Previously, he was involved with LLNL as a post-doctoral researcher (Nov 2014 -- Jan 2017) and Lawrence Graduate Scholar (Feb 2012 -- Nov 2014). Harsh earned his PhD from the Scientific Computing and Imaging (SCI) Institute, University of Utah, under the guidance of Prof. Valerio Pascucci at Utah and Dr. Peer-Timo Bremer, at LLNL.

Harsh works primarily in the area of scientific visualization. He has been involved with various projects in different kinds of application areas, with an overarching goal of applying data analysis and visualization techniques to explore scientific data more effectively. Among others, he has worked on applying topological techniques to understand the behavior of lithium ion in various electrolytes in Li-ion batteries, robust and topologically-consistent representations for scalar and vector valued data for applications in combustion, aerodynamics, etc. Harsh is also involved in analysis and visualization of performance data for LLNL supercomputers.

Harsh is also interested in Mathematical Modeling & Simulation, Scientific Visualization, Probability Theory & Stochastic Processes, Markov Models & Queueing Theory, Computational Geometry, & Algorithms. His personal webpage and a complete list of his publications can be found here.

Ph.D., Computing (Graphics and Visualization), University of Utah

Harsh's complete list of publications can be found here.

Harsh's personal webpage can be found here.