Marc Gillioz

I am senior scientist in the Electrical Energy Efficiency Group at the HES-SO Valais-Wallis, in the town of Sion, Switzerland. My research interests are mostly in three domains:

• Electrical power grids
• Machine learning
• High-energy physics

I’m particularly interested in applying machine learning techniques to solve current problems in power systems, such as power flow optimization through topological changes, or modelling of hydroelectric production. A sample of my projects can be found on the dedicated page.

My background is in high-energy physics. I got my Ph.D. from the University of Zurich, studying the possibility that the Higgs boson is a composite particle. After that I was a postdoc at the University of Southern Denmark, at UC Davis (USA), at EPFL (Switzerland), and finally at SISSA (Italy). I became an expert in conformal field theory, a particular case of quantum field theory with scale invariance in which we have a decent and growing understanding of the strong-coupling regime.

Before joining my current institution, I worked for a while as developer and cloud architect at SCS, a software company located in Zurich.