Trained in statistical physics, Florent Krzakala spent some time studying complex assemblies of simple elementary components in physics, especially in the context of disordered systems. More recently, however, his attention has switched to computer sciences and applied mathematics, where conceptually similar problems often arise. In particular, Krzakala is interested in combinatorial optimization, satisfaction and coloring problems, coding and information theory, statistical inference, machine learning and compressed sensing. Krzakala did his PhD at Orsay, and then moved to Rome as a postdoc for two years. He was an Associate Professor at ESPCI Paris from 2004 to 2013, and since 2013 he has been a Professor at Université de Paris 6 Pierre et Marie Curie and École Normale Supérieure in Paris.
- Probability, Geometry, and Computation in High Dimensions, Fall 2020. Visiting Scientist.
- Counting Complexity and Phase Transitions, Spring 2016. Visiting Scientist.