Dr. Giuseppe Casalicchio

Giuseppe Casalicchio is a senior researcher and lecturer at the Chair of Statistical Learning & Data Science at LMU Munich. His research primarily lies in the field of interpretable machine learning. He has helped shape related research directions at the chair and has coordinated several research projects in this field. He is also involved in science-based continuing education and research transfer: At the Munich Center for Machine Learning (MCML), he was responsible for establishing a Data Science certificate course at LMU as education coordinator and has since organized it annually. In addition, he is the managing director of the LMU spin-off Essential Data Science Training GmbH, where he promotes the transfer of key technologies such as data science and artificial intelligence through practice-oriented continuing education in science, industry, and society.

Project at CAS:

Interpretable machine learning involves methods that make the predictions of complex models more understandable by providing explanations, for example, by describing the effects of individual features on the model prediction and potential interactions between features. Such explanations rely on estimation and approximation procedures and depend, among other things, on the available data and the choice of model. The project builds on this and develops approaches to further advance these explanations by assessing their reliability and uncertainty and by providing accessible visualizations of feature effects and interactions.