Olga is a highly skilled biostatistician and data scientist. Her expertise lies in the design and conduct of comparative effectiveness and outcome studies in the fields of chronic diseases. Using large real-world electronic medical records, her Ph. D. dissertation consists of a series of pharmaco-epidemiological studies with a central focus on the cardio-metabolic effects of the treatment with incretin-based therapies in patients with type 2 diabetes.
With a strong methodological background and high-level programming skills, Olga’s interests include machine learning and data mining with big data. Her current clinical epidemiological research projects also address statistical and data management related methodological challenges while analysing real-world clinical data.