Hi, I’m Ulrich Kerzel. I am currently an apl. Professor and the Dean of Studies (Studiendekan) at the Faculty of Georesources and Materials Engineering at RWTH Aachen University.

Research and Work Experience

  • 2024 – Present: apl. Professor at the Faculty of Georesources and Materials Engineering, RWTH Aachen University.
  • 2024 – Present: Dean of Studies (Studiendekan) at the Faculty of Georesources and Materials Engineering, RWTH Aachen University.
  • 2022 – Present: Research Group Leader “Data Science & Artificial Intelligence” at the Faculty of Georesources and Materials Engineering, RWTH Aachen University.
  • 2018 – 2022: Professor of Data Science and Artificial Intelligence at IU International University of Applied Science. Disciplinary responsibility for 45 professors in the faculty “IT & Technology”.
  • 2017 – 2018: Vice President Data Science at RWTH Aachen Business School GmbH. Development of a new Master program in Data and Decision Science (MME-DDS) and business development for continuing education.
  • 2012 – 2017: Principal Data Scientist at Blue Yonder GmbH. R&D in Data Science & Artificial Intelligence, Team-Lead “Machine Learning Research”, and Head of business unit “Data Science Academy”.
  • 2010 – 2012: Research Fellowship at CERN, Geneva, Switzerland.
  • 2008 – 2010: Senior Research Fellow at Magdalene College, Cambridge, UK.
  • 2007 – 2008: Postdoctoral Associate at Trinity Hall, Cambridge, UK.
  • 2006 – 2010: Research Associate with the LHCb Experiment in the High Energy Physics Group at the Cavendish Laboratory, University of Cambridge, UK.
  • 2005 – 2006: Post-Doc with the CDF and CMS Experiment at the Institut für Experimentelle Kernphysik, University of Karlsruhe, Germany.

Education & Background

My PhD thesis at KIT was focused on Grid Computing and the X(3872) particle. Grid computing is the academic predecessor to modern cloud computing, tailored towards fundamental research. Around the year 2000, we already handled peta-bytes of data, developing global systems like SAM at FermiLab to enable distributed neural network analysis.