I develop Bayesian models that disaggregate data to address individuals. I also study Bayesian nonparametric methods and currently consider shape constraints. I teach and use data mining methods such as recursive partition and neural networks.
My interest is in using econometrics, especially Bayesian econometrics, and machine learning methods to infer causality. I tend to work with mostly parametric models of firm and consumer behavior to assess the effectiveness of firm actions. My work spans a variety of industries such as pharmaceuticals, e-commerce, gaming and hi-technology.