Alberto has led data science projects in the energy, financial services and retail sectors. His areas of expertise include distributed computing for big data, deep learning, and Bayesian statistics. He has extensive experience using TensorFlow, Dask, and MongoDB. He was previously a theoretical physicist and held research posts at Imperial College London in the UK, and in Germany at the Universities of Oldenburg and Cologne. His research was included among the ‘Top 10 breakthroughs of 2011’ by the magazine Physics World.