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Benjamin Good is a theoretical biophysicist with a background in experimental evolution and population genetics. His research focuses on short-term evolutionary dynamics in rapidly evolving microbial populations, such as those found in the gut microbiome. With the rapid technological advances in our ability to catalog the components of these evolving ecosystems, Good's group aims to fill the vast gaps in understanding the population-level processes that control emergent structure and function. Utilizing tools from statistical physics, population genetics, and computational biology, they study microscopic growth processes and genome dynamics at the single cell level to explain the collective behaviors observed at the population level. Their projects range from basic theoretical investigations of non-equilibrium processes in microbial evolution ecology to the development of new computational tools for measuring processes in situ within natural experimental microbial communities. Good seeks to uncover unifying theoretical principles that help understand, forecast, and eventually control the ecological and evolutionary dynamics occurring across diverse scenarios.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.