Olivier is a research scientist in the Google Brain Team interested in fundamental problems in machine learning and artificial intelligence. He received his PhD from ETH Zurich where he was supervised by Andreas Krause in the Learning & Adaptive Systems group. In his dissertation, he investigated coresets - small summaries of large data sets with theoretical guarantees - and other sampling methods for large-scale clustering. He also held a Google PhD Fellowship in Machine Learning and was an Associated Fellow at the Max Planck ETH Center for Learning Systems. Before that, he obtained a bachelor’s degree in economics (University of St. Gallen), a master’s degree in quantitative finance (ETH Zurich & University of Zurich) as well as a master’s degree in statistics (ETH Zurich) where he was awarded an ETH medal for his master thesis.