In my research I investigate what genes are involved in depression and how they interact between each other in health and disease. I'm an advocate for integrative approaches that allow researches to bridge multiple layers of biological and clinical data into one coherent story.  This may provide new insighths into pathophisiology of depression, identify clinically relevant biological markers of disease and suggest novel therapeutic targets. I use a wide range of statistical and bioinformatics techniques from classical candidate gene association analysis to genome-wide network approach and functional characterisation of genetic findings. My primary working language is R.