Profilinformationen
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Akademischer Werdegang und Ausbildung

  • since Oct 2019: Professor of machine learning at the Leibniz University of Hannover
  • 2014-2019: Postdoctoral research fellow at the University of Freiburg with focus on AutoML
  • 2015: PhD in computer science at the University of Potsdam (summa cum laude) with focus on algorithm selection and configuration
  • 2013: Co-Founder of the research network COSEAL (since 2018 advisory board member of COSEAL)
  • 2010: Master of Science in computer science at the University of Potsdam
  • 2008: Bachelor of Science in computer science at the University of Potsdam
  • 2005: High school graduation (Abitur) in Berlin

Forschungsschwerpunkte

Automated machine learning, Hyperparameter Optimization, Bayesian Optimization, Reinforcement Learning, Interpretable Machine Learning

Lehrtätigkeiten

  • Lecture AutoML
  • Lecture Reinforcement Learning
  • Lecture Interpretable Maschine Learning
  • Lecture Data Science
  • Lecture Social Responsibility in AI
  • Seminars: AutoML. RL, ...
  • Lab: AutoML

Neueste Publikationen

  1. Angenommen/Im Druck

    Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAbstract in KonferenzbandForschungPeer-Review

  2. Veröffentlicht

    Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

  3. Angenommen/Im Druck

    Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Alles anzeigen (127)

Schlagwörter

  • Automated Machine Learning, Deep Learning, Hyperparameter Optimization