My two main Fortran projects are:

Batteries Included Fortran (BiF):
https://code.usgs.gov/fortran/bif

and Modflow-OWHM (which depends on BiF):
https://code.usgs.gov/modflow/mf-owhm

I am an Assistant Professor of Groundwater Hydrology and Water Resources at the University of California, Davis, where my research focuses on developing the next generation of hydrologic simulation models, scientific software, and decision-support tools for sustainable water management.

My work sits at the intersection of groundwater hydrology, surface-water operations, vadose-zone processes, land subsidence, seawater intrusion, recharge, uncertainty quantification, and regional water availability. I develop and apply physically based models that help agencies, water managers, and researchers evaluate how climate variability, land use, infrastructure, policy, and water demand interact across coupled groundwater–surface water systems.

Before joining UC Davis, I spent more than 15 years with the U.S. Geological Survey California Water Science Center, where I developed regional water-resource models and open-source simulation software for high-profile systems including California’s Central Valley, Salinas Valley, Pajaro Valley, the Rio Grande transboundary aquifer system, Mexico City, and Santa Barbara. I am the lead developer and manager of the MODFLOW One-Water Hydrologic Flow Model (MF-OWHM), a USGS conjunctive-use modeling platform that tightly couples groundwater flow, surface-water flow, landscape processes, aquifer compaction and subsidence, reservoir operations, and related management processes. The USGS describes MF-OWHM as an integrated hydrologic model designed for conjunctive-use management and sustainability analysis.

At UC Davis, my research group builds on this foundation to improve regional water-availability assessment, groundwater sustainability planning, model transparency, and reproducible scientific computing. I am especially interested in advancing open-source hydrologic software, improving model performance and uncertainty analysis, and training students to develop robust computational tools for water-resources decision making.

My technical background includes Fortran, Python, Rust, MODFLOW-family models, hydrogeology, geospatial analysis, numerical methods, optimization, and high-performance scientific computing. I also teach and mentor internationally, including as a volunteer Adjunct Professor at the Technical University of Munich, and have led workshops on groundwater, surface-water, and conjunctive-use modeling in the United States, Europe, and Asia.