Esther Borkowski

Esther is a Postdoctoral Researcher at the Technical University of Denmark (DTU). She previously held positions at University College London (UCL) and the Swiss Federal Institute of Technology (ETH) Zurich. In her research, she integrates widely-used building performance modelling techniques with machine learning to develop building control strategies that reduce building-related emissions. To boost their uptake, she works towards creating self-configuring models that deliver accurate and interpretable solutions. Alongside her research, Esther contributes to global interdisciplinary research platforms, including Annex 96 on Grid-Integrated Control of Buildings under the International Energy Agency’s Energy in Buildings and Communities Programme (IEA EBC). She is also passionate about increasing equality in STEM and actively works to inspire and support the next generation of female scientists and engineers. 

"I aspire to become an academic leader in integrating machine learning with building performance modelling while advocating for sustainable buildings. I am also committed to promoting gender equality in STEM by building support networks."

Esther Borkowski is a part of the Falling Walls Female Science Talents Intensive Track 2025.