QBio hosts several groups on the C-concourse and first floor of the Yale Science Building (YSB). In addition to lab and office space for the Institute Labs, QBio also provides hotel space for the larger QBio community of students and faculty. Please email qbio@yale.edu to learn more.
We are interested in how networks of neurons perform computations employing detailed behavioral measurements, genetic tools, in vivo imaging, and quantitative modeling.
We use chemical navigation as a dynamic framework to explore how signals guide behaviors—ranging from molecules and cells to entire populations.
We are interested in the mathematics of data science, inverse problems and unsupervised learning, Bayesian inference and variational inference, numerical analysis, etc.
Our group uses tools from statistical physics and information theory to understand the structure and function of biological membranes.
The focus of our lab is to study evolutionary genetics and genomics of microbes, especially the ability of viruses to adapt (or not) to changes in their (a)biotic environment.
Our research aims to understand the statistical mechanics of the brain (and other complex living systems).
Our lab focuses on biological soft matter and its evolution including self-assembly of gradient-index lenses in squids, and micron-scale surface textures in pollen, etc.
We combine state-of-art imaging techniques, mutagenesis, mechanical measurements, and computer simulations to understand how bacteria build multicellular communities.
