My interests are widely spread across the field of predictive models. This includes topics such as: what to do when your data is incomplete, what types of model choices exist for different kinds of data (tabular, high-dimensional, time series), how to estimate how well a model will perform during implementation, and not to forget how we can estimate uncertainty.