Christina Bandaragoda joined the University of Washington in 2013. She received her PhD in Civil & Environmental Engineering, Master’s of Business Administration, and Master’s in Biological & Agricultural Engineering from Utah State University, and a BS from Wheaton College. Prior to obtaining her graduate degrees, she worked in the National Park Service and studied International Development with extensive travel in Asia and the Caribbean. She provides hydrologic modeling services to multi-institutional watershed groups, and maintains professional relationships through sponsored projects with agricultural and tribal science communities in the Pacific Northwest.
Christina’s research specializations are in the linkage between 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.
Christina is currently leading an NSF RAPID team that has recently proposed to build software infrastructure to prevent disasters, with a pilot to address the current humanitarian crisis in Puerto Rico after Hurricane Maria. To learn more about her area of work and collaborators, visit freshwater.uw.edu. You can also discover data and models she has shared on www.hydroshare.org, including HydroPoetry.
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ESIP 2019 Winter Meeting - Day 1 Plenaries
