Lenka Zdeborová is a researcher at CNRS working in the Institute of Theoretical Physics in CEA Saclay, France. She received a PhD in physics from University Paris-Sud and from Charles University in Prague in 2008. She spent two years in the Los Alamos National Laboratory as the Director's Postdoctoral Fellow. In 2014, she was awarded the CNRS bronze medal. Lenka's expertise is in applications of methods developed in statistical physics, such as advanced mean field methods, replica method and related message passing algorithms, to problems in machine learning, signal processing, inference and optimization. She has organized a number of international programs and advanced schools on these topics (e.g. Aspen 2012, Les Houches 2013, Cargese 2014).
- Counting Complexity and Phase Transitions, Spring 2016. Visiting Scientist.