I’m currently applying WRF-Hydro to evaluate hydrologic response and infrastructure resilience across mixed-use landscapes in the Mississippi Delta. I also develop reproducible Python and GIS workflows and integrate satellite data to analyze evapotranspiration and water-balance processes.
At USDA-ARS, I established computational workflows on USDA SCINet HPC using SLURM to manage ensembles of hydrologic simulations. I also set up and calibrated APEX/APEXgraze applications and developed machine-learning models for pumping estimates and soil-water tension prediction.
At the University of California, Merced, I improved workflows for CALVIN, California’s statewide hydroeconomic model, and developed frameworks for hydropower operations and managed aquifer recharge. My research spans hydrologic modeling, water management, and remote sensing, and I’m an author or co-author of 30+ peer-reviewed publications and book chapters.

