Dr. Lenka Zdeborová

Professor

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Biography

Lenka Zdeborová is a Professor of Physics at the École Polytechnique Fédérale de Lausanne (EPFL), where she leads the Statistical Physics Computation Laboratory. She earned her PhD in physics from the University of Paris-Sud and Charles University in Prague in 2008. Zdeborová has significant experience, having spent several years at Los Alamos National Laboratory as a Director's Postdoctoral Fellow. From 2010 to 2020, she held a researcher position at the CNRS, working at the Institute of Theoretical Physics in CEA Saclay, France. She has received numerous accolades, including the CNRS Bronze Medal in 2014, the Philippe Meyer Prize for theoretical physics in 2016, the ERC Starting Grant in 2016, the Irène Joliot-Curie Prize in 2018, and the Gibbs Lectureship from AMS in 2021. In 2025, she will receive an ERC Advanced Grant. Additionally, she serves on the editorial boards of various journals, including Journal Physics, Physical Review E, Physical Review X, SIMODS, and Machine Learning: Science and Technology, and Information Inference. Her research interests focus on statistical physics, mean field methods, the replica method, message-passing algorithms, machine learning, signal processing, inference, and optimization.

Research Interests

Courses

Data Analysis Scientific Machine Learning Machine Learning for Data Analysis

Requirements for École Polytechnique Fédérale de Lausanne

Master Program
Requirements
GPA Requirement
Required:3.2
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a related field Strong foundation in Calculus, Linear Algebra, and Probability Proficiency in programming (Python, Java, or C++)
Application Checklist
  • Curriculum Vitae
  • Copy of University Degree(s)
  • Official Transcripts
  • Statement of Purpose
  • Copy of Passport or Identity Card
  • Three Letters of Recommendation
  • Proof of English Proficiency
Specialization Notes

Standard requirements for Engineering and Basic Science Master's programs. Architecture requires an additional portfolio.