Anyone is welcome to write to me, regardless of personal background, career stage or age. I am happy to connect, chat and exchange ideas about engineering, research, open source software or anything else we may find interesting. I am also open to work opportunities, research collaborations and open source contributions.
My work focuses on chemical process simulation, thermodynamics and energy systems, including waste heat and cryogenic energy recovery. Further areas of focus include CFD and multiphysics simulation, scientific computing and thermodynamics-informed machine learning.
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Reproducible thermophysical data pipelines integrating property models, simulation backends and validated reference data, with inspection, visualization, provenance and leakage aware preparation for physics-informed machine learning workflows.
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Pinntropy · Thermodynamics informed machine learning for surrogate modeling with physical constraints in model architectures, loss functions and optimization, including phase awareness and validity domain assessment. (private repo · license undecided)
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qSink · Engineering decision support for industrial waste heat and cold energy recovery, currently focused on Hamburg, Germany. It covers heat pumps, local heat use, cold conversion, power generation (ORC, TFC, Kalina, TEGs), thermal/electrical storage and integration with heating/cooling networks and the power grid. (private repo · license undecided)
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gmawFoam · OpenFOAM development for coupled electromagnetic, thermal and fluid flow modeling of GMAW (MIG/MAG). (private repo · GPL-3.0)
