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Physics-based modeling and experimental prototyping of osmotic power and desalination energy recovery, translating membrane-scale performance into system-level feasibility
Environmental risk and equity modeling integrating temperature, air quality, wildfire smoke, and census data to identify double-burden communities under extreme heat
Hydroclimate anomaly detection and regime analysis using multi-source observational datasets to distinguish transient weather shocks from persistent climate shifts
How I work
Reproducible Workflows
Run-from-scratch pipelines with pinned data sources
Transparent Assumptions
Documented indices, thresholds, and hyperparameters used in analysis and modeling
Traceable Sources
Explicit dataset versions and preprocessing steps
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