Dr. Lénaïc Chizat

Assistant Professor

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Biography

Lénaïc Chizat is a researcher at École Polytechnique Fédérale de Lausanne (EPFL), within the School of Basic Sciences in the Mathematics department. His research focuses on computational optimal transport and its applications within machine learning. With a strong emphasis on mathematical analysis and modern supervised machine learning techniques, he explores various topics including classical optimal transport and modern denoising diffusion models. Chizat teaches courses such as MATH-528 on computational aspects of measure transportation and MATH-520 which emphasizes mathematical foundations for artificial neural networks.

Research Interests

Courses

MATH-528 Computational Optimal Transport MATH-520 Machine Learning Techniques

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.