Dr. Hsieh’s research is in the area of the inter-annual variability of the climate system – that subtle, nonlinear interplay between ocean, atmosphere and land. In particular, Dr. Hsieh is developing models for climate prediction at the seasonal time scale. Seasonal climate prediction is a new field which has emerged only in the last 12-15 years, with potentially huge economic benefits to society. An example is the famous El Niño phenomenon that can now be forecast with reasonable accuracy 3-12 months in advance. Dr. Hsieh is pioneering the use of artificial neural network models (originally developed in the field of artificial intelligence) for analyzing meteorological/oceanographic data and for short-term climate prediction.