He was appointed as part of a cooperation professorship with the Leibniz Institute for Prevention Research and Epidemiology (BIPS). At BIPS, Professor Wright will head the Department of Statistical Methods in Epidemiology.
He brings extensive expertise in statistical learning and interpretable machine learning methods and their applications in health research. He has led an Emmy Noether Junior Research Group on interpretable machine learning with applications in epidemiology at BIPS since 2020 and has held a W2 professorship at the University of Bremen since 2021. Prior to his arrival in Bremen, Wright studied computer science and mathematics in medicine and life sciences, holding various research positions in Lübeck and Copenhagen.
He is setting new standards in research and technology by developing innovative machine learning approaches for the statistical analysis of complex data. These approaches facilitate interdisciplinary collaboration between computer science, statistics, and health sciences. Students and researchers alike benefit from his experience, methodological focus, and impetus for modern data science questions.
