Group of Prof. Dr. Nicola Serra

An interdisciplinary grant to apply optimisation technques from the natural sciences to supply chain and logistics has been approved! See more details here: Interdisciplinary projects

Our group is focussed on machine learning applied to several different fields. The original focus was on experimental particle physics, focussed on the analysis of huge amount of data collected at CERN. Currently our particle physics research is focussed on the application of machine learning to detector design, which is a highly challenging problem that must deal with complex constraints and large uncertainty. We are also involed in multiple interdisciplanery projects, which are focussed on optimising large and complex systems that also face large and unpredictable uncertainty. 

I am Professor at the University of Zurich and group leader machine learning for applied to complex systems group at UZH based at both the physics department and department for machine learning and mathematical modelling.

I am a phyicist by training, recieving my Ph.D. from the University of Cagliari. My interest in particle physics lies in the analysis of data of big systems and experiments, where determining patterns is a highly challenging but interesting task. My main interest at the moment is the application of machine learning to the optimisation of complex systems. In particle physics this mainly on detector design, but I also have projects in epidemiology and supply chain/logistics.