Francesco Casalegno

Francesco Casalegno is the Section Manager of the Machine Learning team within the Simulation Neuroscience Division.

Together with his team, he works on the development of Machine Learning and Deep Learning models for both internal and translation projects in order to improve accuracy and scaling of current approaches. Presently, they are focusing on leveraging state-of-the-art artificial neural networks architectures to solve complex problems focusing on computer vision and graph analysis.

Before joining Blue Brain, Francesco worked at RUAG Space in Switzerland and at the European Space Agency in Spain. In both roles he was responsible for the development of simulations and post-processing tools for different scientific or industrial interests.

Francesco has a MSc and BSc in Applied Mathematics from EPFL, Switzerland and Politecnico di Torino, Italy respectively.

In his spare time when not outside playing sport, Francesco is a talented chef whose specialties include Italian “panzerotti” and Swiss “Rüeblitorte”.


Casalegno, F., Newton, T., Daher, R., Abdelaziz, M., Lodi-Rizzini, A., Schürmann, F., Krejci, I., and Markram, H. (2019). Caries Detection with Near-Infrared Transillumination Using Deep Learning. Journal of Dental Research. Online 26 August 2019.

DOI: 10.1177/0022034519871884.

F. Casalegno et al. “Error analysis and quantification in NEURON simulations” ECCOMAS 2016: European Congress on Computational Methods in Applied Sciences and Engineering. Eccomas, 2016.

F. Casalegno et al. “Frequency domain analysis of spreading-constriction thermal impedance” Review of Scientific Instruments 84.2 (2013): 024901.