Lenka Zdeborová

Lenka Zdeborová (born 24 November 1980) is a Czech physicist and computer scientist who applies methods from statistical physics to machine learning and constraint satisfaction problems. She is a professor of physics and computer science and communication systems at EPFL (École Polytechnique Fédérale de Lausanne).

Education and career Zdeborová earned a master's degree in physics at Charles University in 2004, and 2008, completed an international dual doctorate ("en cotutelle") at both Charles University and University of Paris-Sud. Her doctoral advisors were Václav Janiš at Charles University, and Marc Mézard at Paris-Sud.

After postdoctoral research at the Center for Nonlinear Studies of Los Alamos National Laboratory, she became a researcher for the French Centre National de la recherche scientifique (CNRS) in 2010, posted at the French Alternative Energies and Atomic Energy Commission's Institut de physique théorique - IPhT Saclay in Paris-Saclay. She also earned a habilitation in 2015 at the École normale supérieure (Paris). After receiving her habilitation, she undertook a research fellowship in Los Alamos, New Mexico. Since 2020, she has been working at EPFL (École Polytechnique Fédérale de Lausanne) as an Associate Professor of physics, and of computer science and communication systems in the Schools of Basic Sciences and of Computer and Communication Sciences (IC), and is the head of Laboratory of Statistical Physics of Computation.