Dr. Anne Florence Bitbol

Associate Professor

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Biography

Anne-Florence Bitbol is a tenured Associate Professor at the Institute of Bioengineering in the School of Life Sciences at École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. She holds a PhD in Physics, which she completed summa cum laude at Université Paris-Cité. With a strong foundation in physics, her research focuses on understanding biological phenomena through quantitative methods, utilizing physical concepts and mathematical frameworks. Her work investigates the impacts of optimization and historical contingency on biological evolution, particularly in relation to protein sequences and microbial populations. Prior to her current role, she has held positions at prestigious institutions including CNRS Researcher at Sorbonne Université and a Postdoctoral Research Fellow at Princeton University. She has received multiple awards for her contributions to the field, including the Early Career Scientist Prize from the International Union of Pure and Applied Physics (IUPAP) and the Michelin Young Researcher Prize from the French Physical Society. In her teaching, she emphasizes the integration of scientific machine learning into biological data analysis, reflecting her commitment to advancing education in life sciences through innovative approaches.

Research Interests

Experience

Associate Professor

2026-01-01 — Present

EPFL • Lausanne, Switzerland

Tenured position in the Institute of Bioengineering

Tenure-Track Assistant Professor

2020-01-01 — 2025-01-01

EPFL • Lausanne, Switzerland

Focused on research and teaching in the Institute of Bioengineering

CNRS Researcher

2016-01-01 — 2020-01-01

Laboratoire Jean Perrin, Sorbonne Université • France

Tenured researcher position

Postdoctoral Research Fellow

2012-01-01 — 2016-01-01

Princeton University • USA

Part of the Biophysics Theory Group, working under multiple prominent PIs

Awards

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Excellence Award

2025-01-01
#

Early Career Scientist Prize

2023-01-01
#

Teaching Award

2023-01-01
#

Young Researcher Prize

2014-01-01
#

Louis Forest PhD Prize

2013-01-01

Courses

EDCB seminar series Genomics Bioinformatics Scientific Machine Learning Randomness and Information in Biological Data

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.