Causal inference; Survival analysis and multi-state processes; Selection bias and missing data

My current research focuses on development of methods that correct for biased sampling and missingness in time-to-event data with competing risks and multi-state structure. In general, I am interested in problems that aim to answer important scientific questions motivated by real life (especially related to public health), questions that pose statistical challenges and lead to collaboration with other disciplines.