Nadja's interests are within the field of microeconometrics, specifically causal inference and causal machine learning, especially the methods for identifying and estimating causal effects in case of many instrumental variables. Nadja is also interested in the empirical application of these methods within health and development economics to evaluate policy interventions using observational data.