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. 

Talk at the University of Washington
Seattle, WA
PhD Defense
Telecom ParisTech, FRANCE


Machine Learning in the Real World
Criteo Paris, FRANCE

The Science & 

Mathematics University

  • Facebook Clean Grey
  • Twitter Clean Grey
  • LinkedIn Clean Grey

© 2023 by Scientist Personal. Proudly created with