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Philip Naumann


Technische Universität Berlin
Machine Learning / Intelligent Data Analysis (IDA)

Marchstraße 23, 10587 Berlin

Philip Naumann Bifold Researcher
© Philip Naumann

Philip Naumann

Doctoral Researcher

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.

  • Optimal Transport
  • Explainable AI
  • Evolutionary Algorithms