Dr. Andreas Bender

Andreas Bender is a postdoctoral researcher and lecturer at the Department of Statistics of the LMU and coordinator of Statistical and Machine Learning Consulting at the Munich Center for Machine Learning (MCML). Before that he was a postdoc at the Big Data Institute of the University of Oxford where he worked on spatial modeling of infectious diseases. His research focuses on Biostatistics, in particular methodological research in the intersection of Machine Learning, AI and Survival Analysis. He is also passionate about empirical data analysis and leads the Machine Learning Consulting Unit (MLCU) at LMU.

Project at CAS

As Junior Researcher in Residence he will focus on research in various aspects of Machine Learning and AI in the context of Biostatistics and Survival Analysis. In particular the estimation of risks for adverse effects caused by multi-medication, estimation of complex multi-state models as well as the use of generative AI techniques for the creation of multimodal, synthetic patient data based on medical imaging, text and tabular data. During his time at CAS he will also author a book titled “Machine Learning Survival Analysis”.