Hanna Drimalla is a computer scientist and research fellow at the Digital Health Center of the Hasso-Plattner Institute at the University of Potsdam. Her current research focuses on using machine learning technologies to predict and prevent psychological and medical crisis. In the context of her doctoral thesis work, she has been investigating human social interactions using psychological, physiological, and computational methods at Humboldt University in Berlin. In addition to her academic career, she has worked as a freelance science journalist for various magazines and as a data science volunteer for Kiron Open Higher Education GmbH. Hanna holds a master’s degree in psychology from the Ruhr-University of Bochum, Germany and a master’s degree in computational science from the University of Potsdam. She also studied abroad at the University of Salamanca. During her studies, Hanna received a scholarship from the German National Academic Foundation.