With more than 15 years of experience as a statistician (M.Sc.), I am conducting research in psychiatric epidemiology with a particular focus on parental and child health.
I work in personalized medicine, using machine learning and model-based methods to develop prognostic models aimed at preventing adverse outcomes among new parents, alongside population-based medicine, identifying patterns and risk factors to benefit the general population.
My primary area of responsibility is analytical: planning studies, including study design, conducting analyses together with mentoring junior researchers, and subsequently communicating and publishing the results.
I write articles, serve as a data governance expert on several projects, and promote knowledge sharing through regular teaching and oral presentations.