His current research explores different areas of forecasting: judgmental and statistical forecasting, modeling crowdsourced predictions, combining and evaluating different predictions, and information elicitation. This involves developing general theory and methodology but also specific projects that analyze real-world data. In addition to working on forecasting, Ville has experience in applying Bayesian statistics to rank hospitals in terms of disease-specific mortality rates.Before joining INSEAD, Ville received a M.A. / Ph.D. degrees in Statistics from the Wharton School of the University of Pennsylvania. He also holds a B.A. in Mathematics and Computer Sciences from Williams College.