I have studied medicine between 2006 and 2012 at RWTH Aachen University, Université de Lausanne, and Harvard Medical School, supported by the German National Merit Foundation. In 2010 I entered the world of brain imaging & systems neuroscience working with Simon Eickhoff as part of the International Research Training Group “Schizophrenia and Autism” (DFG-IRTG1328).
By additional affiliation with the Institute of Neuroscience and Medicine 1, Research Center Jülich, I received training in neuroanatomy from Karl Zilles and Katrin Amunts. I defended a doctoral thesis in cognitive neuroscience in December 2012 (“Functional Specialization for Social Processes in the Human Brain”). This work received the Grünenthal prize from my faculty, the Friedrich-Wilhelm prize and the Borchers medal from my university, as well as the Hans-Heimann prize from the German Society of Psychiatry.
From 2013 to 2015 I then pursued a PhD in computer science on machine learning working with Bertrand Thirion, Olivier Grisel, and Gaël Varoquaux at INRIA Saclay & Neurospin near Paris and Heinrich-Heine University Düsseldorf (“Statistical Learning of Biological Structure in Human Brain Imaging”), supported by a full PhD scholarship of the German National Merit Foundation. Since September 2015 I head the section for “Social and Affective Neuroscience” at the Department of Psychiatry, RWTH Aachen University, as an assistant professor and I am a principal investigator in the international DFG-IRTG2150 closely collaborating with the University of Pennsylvania, USA. In 2017, I was named “Rising Star” by the American Psychological Association (APS).
My combination of backgrounds allows identifying pressing questions in medical imaging and health, reframing them as statistical learning problems, and generating unprecedented insight. My research team is focused on data-guided analysis techniques for large datasets from a systems neuroscience perspective. I believe that strong interdisciplinarity, with an equal footing in research object and research method, is a prerequisite for forward progress in data-driven neuroscience and personalized medicine.
In my free time, I enjoy French and Italian culture, language and languages, playing chess or Go, and I consume excessive amounts of music.