Philip Naumann

Philip Naumann is a PhD student and research associate at the Machine Learning group of Technische Universität Berlin, where he focuses on optimal transport and explainable AI. Prior to joining TU Berlin, he completed his Masters in Computer Science at Leibniz Universität Hannover in 2020, during which he spent a semester abroad at The Chinese University of Hong Kong in 2019. Before joining the Machine Learning group in 2022, Philip worked as a research associate at L3S Research Center and Freie Universität Berlin, where his research focused on evolutionary algorithms, continual learning, and counterfactual explanations.