The Baym lab studies microbial evolution at the intersection of experimental, theoretical and computational techniques. Antibiotic resistance, in addition to being one of the defining public health threats of our time, provides an excellent system for studying evolution. Computationally, the lab explores the application of algorithmic and information-theoretic techniques to gain insight from large and noisy biological datasets, particularly the enormous amount of microbial sequence data now being generated. In modern biology, experiment and computation are far more powerful together than either on its own. Thus, the Baym lab pursues experiments that leverage the power of computational analysis, while simultaneously building algorithmic tools with an eye towards real-world usability to answer biological questions. (modified from https://baymlab.hms.harvard.edu/research.html)