Teach graduate level courses for Statistics and the Data Science Institute

Department of Applied Physics & Applied MathStudy the occurrence of Tornadoes in the United States in a probabilistic context with Spatiotemporal Bayesian Hierarchical statistics & modeling -- Assessment of Climate Forecast System (CFS) predictions of U.S. severe weather activity funded by NOAA

1. Modulation of atmospheric circulation and climate variability on global flood occurrence, Global Floods Initiative;2. Multi-time scale Climate Informed Stochastic Hybrid Simulation-Optimization Model for Multi-Purpose Reservoir Systems – contributed to project funded by National Science Foundation titled “Decadal Prediction and Stochastic Simulation of Hydroclimate Over Monsoon Asia”3. Space-time Structure of Tropical Moisture Exports & Their Precursors associated with High Precipitation induced Floods4. Assess and predict multi-scale, spatio-temporal variations in river flow and climate indices using dynamic and hierarchical Bayesian network modeling

Wind-induced motion of tall flexible buildings and the effects on occupant comfort and mental efficiency

Identification, formation and toxicity of polar brominated disinfection byproducts from chlorination of salinesewage effluents

Earthquake Engineering Research, sponsored by The British Council