BETTER FORECASTS. BETTER DECISIONS.
Advancing Subseasonal and Seasonal Predictions for better Decision Making
My research group studies weather and climate variability and predictability with the goal of improving forecasts in the extended range from 2-weeks to several years. We are particularly interested in improving forecasts for high impact, hazardous and extreme weather. We use global weather and climate models, big data, and statistical and machine learning methodologies combined with our expert knowledge of the physical climate system.
We are located in the Department of Atmospheric, Oceanic and Earth Sciences at George Mason University
Data Driven Discovery
My teaching is centered around data driven discovery. I believe that students learn best about science when they can get their hands on the data and make their own discoveries.
Seeing a student's eyes light up with excitement and hearing them exclaim “that’s so cool” when they discover something for themselves is the highlight of my teaching and advising experience.