Jan de Leon
PhD Student
I'm a PhD student in the Water Intelligence Lab whose research bridges hydrology, artificial intelligence, and community resilience. My work ranges from machine-learning models for watershed prediction to understanding how people perceive and respond to flooding risks. By combining environmental data, computational methods, and stakeholder engagement, I aim to help communities make smarter decisions about water in a changing world.
Education
- PhD Geography and Spatial Sciences, University of Delaware, 2029
- MS Civil Engineering, University of Delaware, 2024
- BS Civil Engineering, Mapua Institute of Technology, 2016
Currently working on
- 3. SAI: Examining Long-Term Success of Green Stormwater Infrastructure
The SAI project investigates how site conditions and resident maintenance behaviors shape the ecological, hydrologic, and social success of 10-plus-year-old residential rain gardens in Washington, D.C., and develops predictive tools to support more effective and equitable green stormwater infrastructure management.
- Explainable Hydrochemical Endmember Modeling (CHEMMA)
- Flood Risk Perception and Community Engagement in Lewes, Delaware
Studying how coastal communities perceive flood hazards and integrating local knowledge into resilience and hazard-mitigation planning.
- Nuisance Flooding Digital Twin
A high-resolution digital twin of Lewes, Delaware coupling urban drainage with surface topography to simulate sunny-day tidal flooding.
- Rain Garden Success Assessment in Washington, DC
Evaluating urban rain-garden performance through an integrated social–ecological–hydrological framework.