My name is Daniel Suess and I am interested in many things machine learning, programming, and quantum related.

my history

  • 2021 – Data Scientist – Model R&D @ Nearmap
  • 2021 Machine Learning Engineer @ Max Kelsen
  • 2018 – 2021 Machine Learning Engineer @ Silverpond
  • 2015 – 2018 Doctoral Candidate (continuation) in the group of D. Gross @ University of Cologne. Thesis: Due to, or in spite of? The effect of constraints on efficiency in quantum estimation problems. [pdf] [git]
  • 2017 Visiting researcher in the group of S. Flammia and S. Bartlett @ University of Sydney
  • 2014 – 2015 Doctoral Candidate in the group of D. Gross @ University of Freiburg.
  • 2014 Researcher in the group of A. Eisfeld @ MPIPKS Dresden.
  • 2014 Visiting researcher in the group of H. Wiseman @ Griffith University, Brisbane. Supported by Leonardo Scholarship.
  • 2008 – 2013 Diploma in Theoretical Physics in the group of W. Strunz @ Dresden Technical University. Thesis: Hierarchy of Quantum Trajectories applied to Photosynthetic Complexes [pdf] [git]