Anne-Florence Bitbol

Biographie Prix et distinctions Enseignement et PhD

I was trained in physics, and always had a strong interest in biology. I am broadly interested in understanding biological phenomena in a quantitative way, through physical concepts and mathematical and computational tools. I investigate the relative impacts of optimization and historical contingency in biological evolution, both at the scale of protein sequences and at the scale of microbial populations.

Here is my research group website.

Curriculum vitae

Here is my complete CV.

Professional experience:

Since 2020: Tenure-Track Assistant Professor, Institute of Bioengineering, School of Life Sciences, EPFL, Switzerland
2016-2020: CNRS Researcher (tenured), Laboratoire Jean Perrin, Sorbonne Université, France
2012-2016: Postdoctoral Research Fellow, Biophysics Theory Group (PIs: Ned Wingreen, William Bialek, Curtis Callan), Princeton University, USA

Education:

2009-2012: PhD in Physics, summa cum laude, Université Paris-Cité (Paris-Diderot), France, "Statistics and dynamics of complex biological membranes", advised by Jean-Baptiste Fournier
2007-2009: MSc in Physics, summa cum laude, ENS, Paris, France
2006-2007: BSc in Physics, summa cum laude, ENS Lyon, France

Prix et distinctions

Reviewer Excellence award

American Physical Society

2025

Early Career Scientist Prize in Biological Physics

International Union of Pure and Applied Physics (IUPAP)

2023

Best teacher award

Life Sciences Engineering teaching section, EPFL

2023

Best teacher award

Life Sciences Engineering teaching section, EPFL

2023

Michelin Young Researcher (PhD) Prize

French Physical Society

2014

Louis Forest PhD Prize in the Life Sciences

Chancellery of the Universities of Paris

2013

Young Scientist Prize in Biological Physics

International Union of Pure and Applied Physics (IUPAP)

2023

Enseignement et PhD

Current Phd

Alexandre Didier Nicolas Littiere, Agathe Bredel, Anamay Ashwin Samant, Cecilia Fruet

Past Phd As Director

Nicola Dietler, Richard Marie Servajean, Damiano Sgarbossa

Courses

EDCB seminar series

BIOENG-606

The EDCB seminar series provides EDCB students the opportunity to share their research and learn from their peers. Students can freely exchange, present data, ideas and get useful feedback on ongoing research and improve communication skills.

Genomics and bioinformatics

BIO-463

Ce cours introduit différentes méthodes d'analyse de données issues du séquencage d'ADN, de l'assemblage de génomes à l'analyse quantitative de l'évolution et de l'expression des gènes, à la liaison des facteurs de transcription et à la conformation des chromosomes.

Lecture series on scientific machine learning

PHYS-754

Ce cours présente des travaux sur la façon dont les questions scientifiques peuvent être abordées à l'aide de l'apprentissage automatique. L'apprentissage automatique permet d'extraire des connaissances à partir de données de manière automatisée. Nous apprendrons à partir d'exemples concrets.

Randomness and information in biological data

BIO-369

La biologie devient de plus en plus une science de données, comme le montre par exemple l'explosion des séquences génomiques disponibles. Ce cours montrera comment nous pouvons donner un sens à ces données et les exploiter afin de comprendre quantitativement les processus biologiques.