Claire Vernade
Claire got her PhD from Telecom ParisTech (S2A team, Olivier Cappé) in October 2017 and worked as a post-doc / applied scientist with Alexandra Carpentier (University of Magdeburg) at Amazon in Berlin. She is now a Research Scientist at Google Deepmind in London, UK.
Her work focuses on designing and analyzing bandit models for recommendation, A/B testing and other marketing-related applications. From a larger perspective, she is interested in modeling external sources of uncertainty -- or bias -- in order to understand the impact that it may have on the complexity of the learning and on the final result.