Experience

Deutscher Wetterdienst

• Germany
• Government Administration
• 200 - 300 Employee

• Research Scientist

  • Mar 2019 - Present

  * Research and development of data assimilation methods to initialize numerical weather prediction models with focus on initialization of surface fields (soil moisture, snow, ice, sea surface temperature). * Maintenance and development of parallel, high-performance implementations of data assimilation methods. * Research and development of data assimilation methods to initialize numerical weather prediction models with focus on initialization of surface fields (soil moisture, snow, ice, sea surface temperature). * Maintenance and development of parallel, high-performance implementations of data assimilation methods.



University of Reading

• United Kingdom
• Higher Education
• 700 & Above Employee

• Scientific Programmer / Postdoctoral Researcher

  • Jan 2017 - Feb 2019

  * Scientific programming for ensemble data assimilation, Earth system, and numerical weather prediction models. * Maintenance and development, coupling of models and data assimilation frameworks, user support and training. * Scientific programming for ensemble data assimilation, Earth system, and numerical weather prediction models. * Maintenance and development, coupling of models and data assimilation frameworks, user support and training.



Universität Hamburg

• Germany
• 1 - 100 Employee

• Postdoctoral Researcher

  • Jun 2014 - Dec 2016

  * Research on coupled data assimilation for the soil/land surface/atmosphere system. * Research on methodological extensions of the ensemble Kalman filter. * Design and implementation of an object-oriented ensemble data assimilation system with Python. * Research on coupled data assimilation for the soil/land surface/atmosphere system. * Research on methodological extensions of the ensemble Kalman filter. * Design and implementation of an object-oriented ensemble data assimilation system with Python.



Max Planck Institute for Meteorology

• Researcher

  • Apr 2014 - May 2014

• PhD Candidate

  • Apr 2010 - Apr 2014

  • Developed and set up a data assimilation framework for a comprehensive land surface model.• Adapted existing data assimilation methods (Ensemble Kalman Filter, Gaussian anamorphosis) to estimate model parameters.



Forschungszentrum Jülich

• Research
• 700 & Above Employee

• Diplomand / M.Sc. student

  • Apr 2009 - Mar 2010

  • Compared and implemented iterative regularization methods for inverse problems from radiative transfer and atmospheric remote sensing. • Compared and implemented iterative regularization methods for inverse problems from radiative transfer and atmospheric remote sensing.



Environment Canterbury

• New Zealand
• Government Administration
• 400 - 500 Employee

• Intern - Groundwater Resources

  • Jul 2007 - Dec 2007

  • Identified and evaluated remote-sensing based methods for irrigation monitoring on a regional scale. • Identified and evaluated remote-sensing based methods for irrigation monitoring on a regional scale.