Ph.D. in Statistics, Department of Statistics, Carnegie Mellon University, 1990.
M.S. in Statistics, Department of Statistics, Carnegie Mellon University, 1987.
B.S. (cum laude), in Economics and Social Sciences, Universita L. Bocconi, Milano, 1984.
- Models and software for predicting who is at risk of carrying genetic variants that confer susceptibility to cancer. Application to breast, ovarian, colorectal, pancreatic and skin cancer.
- Statistical methods for the analysis of high throughput genomic data: analysis of cancer genome sequencing projects; integration of genomic information across technologies; cross-study validation of genomics results.
- Statistical methods for complex medical decisions: comprehensive models for lifetime history of chronic disease outcomes; decision trees and dynamic programming.
- Bayesian modeling and computation: multilevel models; decision theoretic approaches to inference; sequential experimental design, Markov chain Monte Carlo methods.