Regular biography
Anne-Florence Bitbol is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the BIO department. Her research focuses on understanding biological phenomena through quantitative methods, employing physical concepts and mathematical tools. She investigates the impacts of optimization and historical contingency in biological evolution, at both the protein sequence and microbial population levels. Bitbol's work spans computational and quantitative biology, with a particular emphasis on the interplay between physical principles and biological systems. She teaches courses in genomics, bioinformatics, and scientific machine learning, and is involved in PhD programs at EPFL.
Scholar-generated biography
Anne-Florence Bitbol is an associate professor at the Institute of Bioengineering, School of Life Sciences, EPFL, specializing in biophysics, statistical physics, computational biology, and quantitative biology. Her research explores the interplay between physical principles and biological systems, focusing on topics such as protein interactions, membrane dynamics, and microbial population dynamics. Bitbol's work includes developing computational models to understand biological processes, analyzing protein sequences to infer functional relationships, and studying the impact of environmental factors on microbial evolution. Her research also extends to the application of machine learning in biological systems, such as using convolutional neural networks for image segmentation in yeast microscopy. Bitbol's interdisciplinary approach bridges theoretical physics and computational methods to address complex biological questions.