AI & ML interests
We study biological phenomena using physical, mathematical, and computational tools, focusing on the balance between optimization and historical contingency in evolution. Our work spans biomolecules to microbial populations, with interests in protein sequence analysis and evolution in spatially structured populations. We combine theory, simulations, and data analysis, and collaborate closely with experimentalists.