Before joining Syracuse University, Wang earned a B.A. at Tsinghua University in Beijing and Ph.D. in economics from Princeton University. His current research focuses on designing new econometric tools in the presence of small samples and other instances when data are limited. Motivating examples include forecasting financial tail risk and estimating the cost of catastrophic disasters such as large hurricanes and earthquakes. All these extreme events are only observed a few times, and hence standard approaches relying on many observations fail to capture the underlying feature. Wang’s other research studies change point models and threshold models, which are widely used in economics and social science. Full Biography