I'm a Hydrologist (Groundwater Modeler) at the Texas Water Development Board (TWDB) with over 5 years of prior postdoctoral research experience at Texas A&M University and the University of Maryland. I specialize in developing, calibrating, and interpreting numerical groundwater flow models, with a strong focus on MODFLOW‑based frameworks
- Develop, calibrate, and interpret numerical groundwater model using - MODFLOW and/or FloPy
- Groundwater budget analysis using ArcGIS Pro, and Python ‑driven workflows
- Develop, use, or manipulate programs/scripts for model data extraction, adjustments to model files, and/or to process and manipulate ASCII data files for scientific applications.
- Research background on hydrologic, water quality, and agricultural modeling - SWAT, HSPF, APEX, and HEC-RAS
- Skilled on geospatial analysis - ArcGIS, QGIS, Google Earth Engine
- Applied remote sensing in research ENVI, ERDAS IMAGINE, and satellite datasets
- Experience in programming in Python and R for data analysis, visualization, and model automation
- Research experience in watershed modeling, and water quality improvement
- Co-ordinated technical evaluation of 2026 Joint Planning DFCs and computed MAG for GMA 6 and 15 to support state water planning
- Reviewed consultant-developed DFCs across GMAs for technical consistency
- Validated model inputs used in GAMs
- Executed predictive GAM simulations to convert DFCs into sustainable MAG estimates
- Calculated MAG by "County", "Basin", "RWPA", "GCD", and "GMA" through aggregation
- Improving SWAT model simulations through land-use specific calibration with remote sensing data (ET, LAI, NPP)
- Integrating soil moisture datasets (e.g., SMAP) for enhanced streamflow predictions
- Developing reproducible workflows for large-scale hydrologic modeling
SWAT • HEC-RAS • HSPF • APEX• ArcGIS • QGIS • ENVI • Google Earth Engine
Python • R • Jupyter • Git • Remote Sensing • Hydrologic Modeling
Feel free to star ⭐ or fork 🔀 anything you find useful.*