In 2026, Prof. Dr. Beate Sick joined the Thurgauer An-Institute for Digital Transformation (TIDIT) in Kreuzlingen, where she leads the group for Probabilistic AI. Her interdisciplinary research bridges statistics, artificial intelligence, and causality, with a particular focus on multi-modal and transparent models in applied biomedical research.

Before joining TIDIT, she was heading the group of bioinformatics in the DNA Array Facility at University of Lausanne and afterwards  spending more than 10 years as a Professor at the Zurich University of Applied Sciences (ZHAW), where she held the Chair of Applied Statistics and led a team of students and young researchers in close collaboration with collaboration partners from different Universities, hospitals and industry. Since 2014, she is also affiliated with the University of Zurich, teaching in the Master’s program in Biostatistics and Epidemiology and conducting collaborative research at the interface of AI and biostatistics in close partnership with medical researchers. In addition, she lectures at ETH Zurich on biostatistics, multivariate statistics, and deep learning.