Roberto Castello is a scientific collaborator at the EPFL Laboratory of Solar Energy and Building Physics.
He holds a PhD in Particle Physics and has previously worked at CERN on collecting and interpreting large datasets by means of advanced data mining techniques.
His current focus is on computational techniques for urban sustainability: spatio-temporal modelling of renewable energy potential, energy efficiency optimisation and Machine Learning for monitoring the evolution of the built environment.