Laboratory of Computational Biology and Theoretical Biophysics

We are broadly interested in understanding biological phenomena through physical concepts and mathematical and computational tools. We investigate the impacts of optimization and historical contingency in biological evolution. Quantitative approaches can now bring crucial insights to this question and shed light on data from novel experiments. Our research spans multiple scales, from biomolecules to microbial populations, with specific interests in making sense of protein sequence data and modeling drug resistance evolution. We perform analytical work, numerical simulations and data analysis, and enjoy collaborating with experimentalists.