Dr. Andrei is a biostatistician and data scientist with a wide range of scientific interests and collaborative directions. His current focus in on using machine learning methodology and computationally-intensive methods in large-scale observational studies and randomized clinical trials. Areas of biostatistical methodology expertise include propensity score-based methods for causal inference problems, nonparametric or semiparametric survival analysis, recurrent/successive events, health-related quality-of-life and hierarchical Bayesian modeling for multiple testing problems.