Bio
Dr. Perez is a postdoctoral research associate in the Watershed System Modeling Group at the Climate Change Science Institute at ORNL. His research combines numerical modeling of physical-based hydrological processes with stochastic processes theory, with the main goal of dissecting the roles of rainfall and land surface process interactions in producing surface and subsurface flow at a wide range of temporal and spatial scales. He is interested in high-performance computing, hydroclimate impact assessment, flood frequency analysis, stochastic modeling, remote sensing, machine learning, groundwater modeling, and hyporheic exchange modeling.
Before joining ORNL, Dr. Perez worked as a postdoctoral scholar at Vanderbilt University. He received his Ph.D. in Hydraulics and Water Resources from the University of Iowa, an M.S. in Water Resources, and a B.S. in Civil Engineering from the National University of Colombia at Medellin.