Research Assistant and Ph.D. Student
I'm a fourth-year PhD student at RWTH Aachen University, exploring how data integration, simulation, and control at the district scale can drive Germany’s energy transition. My work spans Urban Building Energy Modeling (UBEM), predictive control systems, geo-referenced data, and semantic ontologies—often blending energy informatics with urban complexity. I’m especially interested in how urban districts can serve as key units of analysis and action in future energy strategies, bridging the gap between technical precision and real-world impact. Beyond research, I’m a passionate traveler, avid chess player, and always up for a surf or tennis match. I’ve recently picked up drumming, and true to the saying, I'm a jack of all trades… (hopefully not a master of none:).
A short reflection on our presentation at the Berliner Energietage, where we shared insights from the SmartQuart and ReFaTEk projects. Highlights include scalable energy systems, the importance of local participation, and impressions from discussions with other practitioners.
Read MoreThis study presents CityDPC, a Python library for geometric computations on CityGML and CityJSON datasets.
This study addresses neighborhood-level sustainability in urban development as a critical lever in Germany’s energy transition goals.
Shaping Germany’s energy future through smart, sustainable district solutions.
A digital platform enabling smart, cross-sector energy planning through ontology-based data integration and automation.
CityDPC is an open-source Python library designed for handling and analyzing 3D city models in CityGML and CityJSON formats. It provides tools for geometric computations, including identifying shared walls between buildings—critical for urban energy simulations. The library enables the loading, validation, and manipulation of city datasets, supporting applications like Urban Building Energy Modeling (UBEM). CityDPC integrates with UBEM tools like TEASER+, streamlining urban-scale energy assessments by efficiently processing and analyzing large building datasets.
