Function and Responsibilities:

• PostDoctoral Researcher - Reasearch Group Leader: Physics-Based Machine Learning for Hierarchical Monitoring Systems

Research Interests:

• Numerical Modeling
  
• Physics-based machine learning / artificial intelligence
  
• Surrogate model generation
  
• Geothermal energy
  
• Induced seismicity

Career:

• 2025-heute: Postdoctoral researcher at the GFZ Potsdam
• 2020-2024:  Postdoctoral researcher at the RWTH Aachen University
• 2020-2020: Coordinator of the international study programm Applied Geophysics at the RWTH Aachen University
• 2019: Researcher at the GFZ Potsdam

Education:

• 2016-2020: Dr. rer. nat (with distinction) - RWTH Aachen University
• 2018-2021: Associated Fellow of the IRTG-2379 "Modern Inverse Problems" - RWTH Aachen University and UT Austin (Oden Institue)
• 2014-2016: M.Sc. in Applied Geophysics - TU Delft, ETH Zürich, RWTH Aachen Universitty
• 2012-2014: B.Sc. in Applied Geosciences, RWTH Aachen University

Projects:

• Physics-Based Machine Learning for Hierarchical Monitoring Systems (funded by the BMBF)

Awards:

• 2021: Heitfeld Award, RWTH Aachen University
• 2021: Borchers Badge, RWTH Aachen University
• 2020: Teaching Award for the best innovation in teaching (together with Florian Wellmann, Jan van Harten), RWTH Aachen University