During my undergraduate studies in Cognitive Science at Osnabrück University in Germany I became interested in machine learning and graph theory. I joined professor Henrik Walter’s lab at Charité University in Berlin, Germany, and worked with Dr. Jonathan Clayden at the Developmental Imaging and Biophysics Unit at University College London, UK. I am fascinated by a graph-theoretical approach to the study of whole-brain network organization in health and disease. Psychiatric illnesses, like mood disorders, often impede with our ability to lead independent and self-determined lives. With my research, I aim to contribute to a better understanding of such illnesses in order to develop biomarkers that allow for the effective detection, prediction and discrimination of mood disorders. At Cambridge I will be doing a PhD in Psychiatry, studying trajectories of brain network development, adolescent depressive symptoms and mood disorder. I will combine multimodal MRI metrics of network organization with machine learning tools to identify network phenotypes that are most predictive of subclinical depressive symptoms and depressive disorder.
