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I am a research associate at the University of Tübingen, Department of Geosciences, where I run my junior research group (DFG funded) within the Hydrogeology Workgroup. I research and teach in a variety of areas including Geohydrology, Hydrology, Statistics, and Geostatistics.

The following list gives a short impression on the type of work I am interested in:

  • The arrangement of variables in space influences various secondary variables. The classic example from stochastic hydrogeology is that the structure of hydraulic conductivity influences groundwater velocity and subsequently solute transport behaviour (macrodispersion). Particularly, we are working at the moment on the estimation of the spatial dependence of a given variable, given that this variable was measured using different measurement techniques, at not-identical locations.
  • Within the Research Training Group "Integrated Hydrosystem Modelling", I am acting as junior PI / PhD-advisor working on the following topics:
    • modelling object-based geologically realistic features: HyVR;
    • evaluating the impact of recently started irrigation and climate change on an arid agricultural catchment in Spain;
    • evaluating the impact of dynamic vegetation (models) on hydrogeology. The vegetation model is an agent based model describing various plant traits. The plants compete for water. We couple the need of the plants with the availability through a hydrogeological model;
    • improving particle-based simulation of transport in heterogeneous coupled hydrosystems;
  • Together with colleagues at the University of Stuttgart, I am actively developing an operational code for the interpolation of groundwater quality parameters on regional scale. This project is in close collaboration with the state agency of the environment in Baden-Württemberg. Overall goal is to include as much information as possible to enhance the model of spatial dependence (hard and soft secondary information / exhaustive and non-exhaustive). While a key component of the code is in operational use since 12/2017, we are expanding this work to actively estimate probabilities of exceedance of critical thresholds.
    An awesome picture
    Highlights of the advantages of copula based spatial interpolation. The estimated concentrations (left column) and the spatial structure of the uncertainty of the estimated concentrations is much more realistic. This becomes evident nicely in the Black Forest, a large area in the south-west of the state with homogeneous concentrations.


Currently, I teach "environmental modelling" and "geostatistics" at the university of Tübingen and supervise PhD., MSc., and BSc. students. I make a point to teach open source scientific programming skills using python and distributed version control.


I received a Dipl.-Ing. degree of environmental engineering at the University of Stuttgart, Germany (2005) and a M.Sc. degree in earth sciences (hydrogeology) at the University of Waterloo, Canada (2005). The title of my theis is "Quantifying Effects of Land-Use Changes to Municipal Groundwater Quality" and I was advised by Dave Rudolph, Neil Thomson, and Emil Frind.

I received a Dr.-Ing. degree with distinction in 2011 at the University of Stuttgart for my dissertation entitled "Analysis of Real-World Spatial Dependence of Subsurface Hydraulic Properties Using Copulas With a Focus on Solute Transport Behaviour". During my dissertation I was advised by Prof. András Bárdossy and Prof. Ed Sudicky. I held a research associate position at the Department of Hydrology and Geohydrology at the University of Stuttgart (2011-2012) and was the PostDoc of the International Research Training Group "Integrated Hydrosystem Modelling" at the University of Tübingen (2012-2014). In 2014m I joined WESS and started my DFG funded own position in October 2015.

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