Media / 05
Publications
Research that turned into tools industry actually uses — and data contributed to the IPCC 6th Assessment Report.
Citations per year · 2,541 total · source: Google Scholar
Two threads run through the work. The first is multiphysics simulation of energy systems at building and district scale. The second is data-driven inference — machine learning and Bayesian statistics — applied to the same systems. Most of it has been done with colleagues at ETH Zürich, the ETH-Singapore Future Cities Lab, and EPFL.
Alongside the peer-reviewed work, I try to translate it for a broader audience interested in digital replicas of the power sector — and the open question of how to bring their emulation closer to real-world operation. Engineers, planners, and anyone working at the intersection of physics and software.