current research
My current work focuses on the use of machine learning in climate, primarily as a method for improving predictions. I work on a range of time scales, from multi-day hurricance predictions, to decadal climate predictions.
TCANE
machine learning to predict tropical cyclone track forecast errors.
Analog Forecasting
multi-year-to-decadal predictions using a model-analog framework.