Computational Biology at Multiple Scales
We develop and apply powerful mathematical and computational methods to investigate living systems at multiple scales — from the atomic level, to the gene level, to the systems level, to the tissue/organismal level, and finally to the population level — and apply these methods in close collaboration with experimentalists and clinicians to address pressing biomedical questions, from circadian disruption to cancer. Working at the interface between mathematics, computation, and biology, we advance our understanding of how macroscopic phenotypes emerge from the complex interplay of microscopic interactions.
Network systems biology
Analyzing omics data in the context of regulatory networks
Deducing the “Rules of Life”
Combining multi-omic data to identify novel regulators and understand disease mechanisms
Temporal organization of living systems
Modeling biological dynamics and predicting the responses to environmental perturbations
NSF-Simons Center For Quantitative Biology
As part of the recently-awarded NSF-Simons Center for Quantitative Biology (a consortium of 13 research groups on both the Evanston and Chicago Campus), we are developing mathematical models for how the circadian clock responds to perturbations such as changes in temperature and diet, and mediates the relationships between those exposures and lifespan.