Sebastian Lapuschkin received the Ph.D. degree with distinction from the Berlin Institute of Technology in 2018 for his pioneering contributions to the field of eXplainable Artificial Intelligence and interpretable machine learning
From 2007 to 2013 he studied computer science (B. Sc. and M. Sc.) at the Berlin Institute of Technology, with a focus on software engineering and machine learning.
Currently, he is a tenured researcher and head of the Explainable AI Group at Fraunhofer Heinrich Hertz Institute (HHI) in Berlin.
He is recipient of multiple awards, including the Hugo-Geiger-Prize for outstanding doctoral achievement and the 2020 Pattern Recognition Best Paper Award.
His research is focused on computer vision, (efficient) machine learning and data analysis, data and algorithm visualization, and the interpretation, analysis and rectification of machine learning system behavior.