Research interests include statstical modeling, causal inference, and mediation analysis.

My research focuses on causal inference for intensive care data. In this field, we have methodological questions that are specific to the ICU: how can we account for informative censoring and competing events (patients die or are discharged from the intensive care unit)? How to model complex underlying biological mechanisms? Can we deal with heterogeneous patient populations? And what about the fact that interventions probably do not have one stable effect but their effectiveness varies over time?