Christina Bandaragoda

  • Senior Research Scientist, Civil and Environmental Engineering
  • UW eScience Affiliate

Dr. Bandaragoda’s research specializations are in developing computational data resources needed to link water resource management and theoretical physical hydrology – using numerical modeling and software development to communicate about flood, drought, and future water scenarios. Her current projects include flood model integration for Prediction and Resilience Against Extreme Events (PREEVENTS), the Landlab open-source Python modeling toolkit, and HydroShare, an online collaborative platform for sharing water data and models. Dr. Bandaragoda is currently leading an NSF RAPID team that is working with population health researchers to build cyber-infrastructure to prevent disasters, with a pilot to address the current humanitarian crisis in Puerto Rico after Hurricane Maria.