Tobias Houska
Forscher (Postdoktorand) at Technische Universität Dresden
Dresden, Saxony, Germany
Summary
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Senior🎓
Top SchoolTobias Houska is a hydrologist and software developer with 13 years of experience translating complex environmental problems into data-driven solutions, currently working as a postdoctoral researcher at Technische Universität Dresden. He combines rigorous scientific methods with pragmatic software engineering—contributing key backend features to the open-source SPOTPY tool for model calibration and uncertainty analysis. His work spans hydrodynamic modelling, automation, and scalable data handling to support decision-making in water resources and ecosystem management. Tobias has a strong academic track record from Justus-Liebig-Universität Giessen and a habit of turning research code into robust tools that others can reuse. He is particularly skilled at bridging the gap between model development and practical implementation, making uncertainty quantification accessible to practitioners.
13 years of coding experience
Doctor of Science, Doctor of Science at Justus Liebig University Giessen
Github Skills (4)
python10
statistical-models9
database-management8
test-automation5
Programming languages (2)
Github contributions (5)
thouska/spotpy
Dec 2015 - Oct 2022
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 releases, 1 review, 698 commits in 7 years
Contributions summary:Tobias's contributions are primarily focused on the development and maintenance of the Statistical Parameter Estimation Tool (SPOTPY), a Python-based tool for model calibration and uncertainty analysis. They have implemented several key features, and have fixed numerous bugs in the code and added support for new likelihood functions. The user has also addressed database and data handling to handle a wide range of data.
optimizationstatisticalmachine-learningparameterparameter-estimation
jlu-ilr-hydro/pmf
Jul 2012 - Nov 2012
Contributions:29 commits in 4 months
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