Area of research
Civil and Structural Engineering · Atmospheric Science
Research interest
Research focused on Storm and Interpretability, with related work in Impervious surface, Oceanography, Reliability (semiconductor). Notable publications include 'Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds', 'Night and day: The influence and relative importance of urban characteristics on remotely sensed land surface temperature', and 'Predicting Hurricane Power Outages to Support Storm Response Planning'.
Moving Beyond the Silos of Opportunistic Pathogen and Disinfection Byproduct Research to Improve Drinking Water System Management
Integrating Equity Considerations into Agent-Based Modeling: A Conceptual Framework and Practical Guidance
Night and day: The influence and relative importance of urban characteristics on remotely sensed land surface temperature
Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds
Multidecadal increase in North Atlantic coccolithophores and the potential role of rising CO <sub>2</sub>
Predicting Hurricane Power Outages to Support Storm Response Planning
Forecasting hurricane-induced power outage durations
Power Outage Estimation for Tropical Cyclones: Improved Accuracy with Simpler Models