dorado
Passive particle transport simulation for shallow-water flows. Designed to interface with landscape-scale hydrodynamic models.
Geospatial Data Scientist
PhD in Civil Engineering from The University of Texas at Austin.
River delta enthusiast.
Open-source tools and research in geomorphology, hydrology, and remote sensing.
Passive particle transport simulation for shallow-water flows. Designed to interface with landscape-scale hydrodynamic models.
A modular, tested, and reproducible Python implementation of the reduced-complexity river delta model DeltaRCM. Customizable via subclassing and hooks.
Automatic extraction and analysis of river and delta channel network topology from binary water masks. Computes flow directions, widths, and graph metrics.
Quantifying the accuracy of width-based discharge partitioning from remote sensing imagery in distributary channel networks, validated against field observations.
Research connecting river delta surface morphology with subsurface stratigraphy, sandbody connectivity, groundwater transport, and response to accelerated sea-level rise.
Numerical modeling of how human modifications — embankments, polders, and dredging — alter material transport pathways through river deltas.
Suite of open-source packages for programmatic retrieval of USGS water data. Available across three languages for the broadest community reach.
Python package for calculating and visualizing hydrologic statistics — raster hydrographs, streamflow duration curves, and more — from USGS water data.