Forecasting, Probability Modeling, Bayesian Statistics
Operations Management, Discrete Stochastic Processes
Ville Satopaa is an Assistant Professor of Technology and Operations Management at INSEAD. His current research explores different areas of forecasting: judgmental and statistical forecasting, modeling crowdsourced predictions, combining and evaluating different predictions, and information elicitation. It involves developing general theory and methodology but also specific projects that analyse 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 his MA/PhD degrees in Statistics from the Wharton School of the University of Pennsylvania. He also holds a BA in Mathematics and Computer Sciences from Williams College.