Concept

Anne Auger

Anne Auger is a French numerical analyst and computer scientist interested in benchmarks and performance analysis of black-box methods for numerical optimization. She is a director of research for the French Institute for Research in Computer Science and Automation (Inria), and the leader of RandOpt, the Randomized Optimization team at the Inria Saclay research center. Auger earned an agrégation in mathematics in 2000 at Paris-Sud University and a diploma in numerical analysis at Pierre and Marie Curie University in 2001. Next she completed a Ph.D. in 2004 at Pierre and Marie Curie University, with the dissertation Contributions théoriques et numériques à l'optimisation continue par Algorithmes Evolutionnaires, jointly supervised by Claude Le Bris and Marc Schoenauer. She earned a habilitation in 2016 at Paris-Sud University.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.