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The Ferguson Lab is an interdisciplinary computational and theoretical research group at the Institute for Molecular Engineering at the University of Chicago.

We work at the intersection of
materials science, molecular simulation, and bioinformatics, leveraging tools from statistical physics, high performance computing, and machine learning.

Our research interests lie broadly in the investigation of equilibrium and dynamic properties of soft matter, with specific foci in the
self-assembly of biological and bioinspired materials, machine-learning accelerated molecular dynamics, inference of protein folding landscapes from experimental data, and the reconstruction of viral fitness landscapes for computational vaccine design.
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