Mark is an expert in innovating engineering analytics and extracting data insights from a variety of engineering topic areas including climate change, hydrology and hydraulics, stormwater management, agriculture, ecohydrology, and water quality. He is the author of over 16 peer reviewed publications and over 30 conference presentations at national and international conferences and invited talks.
Many of Mark’s approaches leverage the latest techniques in probability and statistics and are informed by his experience delivering engineering projects ranging from planning and modeling to detailed design. Mark's ongoing research advances the study of machine learning, hydro-climate variability, surface and subsurface hydrology, stochastic processes, ecohydrology, and statistical mechanics.
His experience includes work with the National Oceanic and Atmospheric Administration (NOAA) on the Geophysical Fluid Dynamics Laboratory (GFDL) climate model and work with the United States Department of Agriculture (USDA) as a fellow in the National Institute of Food and Agriculture.