Lenka Zdeborová

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 researcher for CNRS at the Institut de Physique Theorique of the CEA.[2]

Education and career

Zdeborová was born in Plzeň. Che earned a master's degree in physics at Charles University in 2004 and, in 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.[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 Institut de Physique Theorique of the French Alternative Energies and Atomic Energy Commission (CEA) in Paris-Saclay. She also earned a habilitation in 2015 at the École normale supérieure (Paris).[1]

Recognition

Zdeborová won the CNRS Bronze medal in 2014.[1] In 2016 the École normale supérieure (Paris) gave her the Philippe Meyer prize in theoretical physics.[3] She is the 2018 winner of the Irène Joliot-Curie Prize for young female scientists.[4]

References
  1. Curriculum vitae (PDF), August 2017, retrieved 2019-10-03
  2. Lenka Zdeborová, Simons Institute, retrieved 2019-10-03
  3. Philippe Meyer Prize in Theoretical Physics, Institut de physique théorique Philippe Meyer, retrieved 2019-10-03
  4. Prix Irène Joliot-Curie 2018, Ministry of Higher Education, Research and Innovation, retrieved 2019-10-03
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