Lenka Zdeborová (born 24 November 1980)[1] 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).

[2][3] Zdeborová was born in Plzeň and attended a local grammar school where she excelled in math and physics.

After living in France with her family and working at the Centre National de la Recherche Scientifique (CNRS), she and her partner moved to Switzerland in 2020.

[1] 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.