Laurent Massoulié will develop distributed algorithms for learning from data spread over several machines, to efficiently exploit communication resources between data locations, and storage and compute resources at data locations. He will develop efficient algorithms for unsupervised learning from ‘graphical data’. He will also address fairness and privacy challenges of machine learning, in particular in the contexts of recommender systems and matching markets.