John Gounley

John Gounley is a computational scientist in the Biostatistics and Multiscale Systems Group within the Computational Sciences and Engineering Division at Oak Ridge National Laboratory. 

Prior to joining the ORNL, John held postdoctoral positions in Laboratoire M2P2 at Ecole Centrale Marseille and in the Department of Biomedical Engineering at Duke University. While at Duke, he had postdoctoral fellowships with the Hartwell Foundation and with the Big Data-Scientist Training Enhancement Program (BD-STEP) of the National Cancer Institute and the Veterans Health Administration. John received his Ph.D in Computational & Applied Mathematics at Old Dominion University.

John’s research focuses on scalability of algorithms for biomedical simulations and data. He contributes to CANDLE, an Exascale Computing Project (ECP) application focused on developing deep learning pipelines for studying cancer-related problems on leadership-class computing platforms and emerging HPC architectures. His research interests also include fluid-structure interactions, lattice Boltzmann methods, and biophysics.