Tobias Brudermüller
Dr. sc. ETH Zurich

At Siemens, I’m currently focused on AI, advanced analytics, and the development of new technologies. Previously, I was a researcher in the Bits to Energy Lab at ETH Zurich, where I developed machine learning techniques for energy applications to promote sustainability and for the digitalization of the power grid. 🔋🔌💡 One area of focus for my work was analyzing data from smart electricity meters and IoT sensor data to optimize residential heat pumps in operation. For my research, I collaborated with multiple partners: Swiss Federal Office of Energy, Bosch, EKZ, Enerlytica, and Hoval.
I hold a doctoral degree from ETH Zurich (Dr. sc. ETH Zurich), a master’s degree from RWTH Aachen University (M.Sc. Electrical Engineering, Information Technology & Computer Engineering) and two bachelor’s degrees from the Technical University of Darmstadt (B.Sc. Electrical Engineering & Information Technology // B. Sc. Industrial Engineering & Business Administration). Previously, I was a visiting researcher at Yale University, founded a startup in the area of augmented reality and have worked for and with multiple companies (e.g., GoogleAI, Mercedes Benz, SAP, Bosch, and Merck).
Professional Links:
- 👨💻 GitHub
- 📄 Google Scholar
- 🖇 ORCID
What Else?
- 📽️ Science slam: A talk about heat pumps I gave in German.
- 🗞️ Some media coverage of my research: ETH Zurich News, TechXplore, MSN, chip.de, T-Online, myHomebook, Baublatt.ch
- 📊 Research proposal website: An idea about making information tactile that I had a while ago.
selected publications
- Smart meter data analytics: Practical use-cases and best practices of machine learning applications for energy data in the residential sectorIn International Conference on Learning Representations (ICLR 2023) Workshop on Tackling Climate Change with Machine Learning, 2023