The Baliga group develops models of biological systems, from single cells to communities of multiple organisms, that accurately predict adaptation to environmental changes.
The Gibbons Lab employs empirical and computational approaches to study how and why complex adaptive systems such as the mammalian gut microbiome reorder themselves in response to environmental change.
The Hadlock Lab conducts translational research to improve risk models for clinical decision support and investigates novel methods to accelerate research discovery.
The Heath Lab works on challenging problems in translating precision medicine from benchtop to bedside, with a focus on oncology.
Health Data Science Lab
The Health Data Science team, directed by Dr. Andrew Magis, develops approaches to better understand and prevent these complex diseases by collecting, analyzing, and translating multi-omic data into actionable clinical insights for physicians and patients.
The Hood-Price Lab is integrating biology, technology and computational science to enable a predictive, personalized, preventive and participatory (P4) approach to medicine.
The Huang Lab is interested in the fundamental principles that govern how the gene regulatory network orchestrate the activities of the genes to produce the variety of stable cellular states, such as the known cell types of the body, which in turn undergo state transitions, such as the differentiation of a multi-potent stem cell to a specialized blood cell.
The Kane Lab is interested in identifying biological determinants of frailty in order to understand more about the molecular underpinnings of frailty and aging, to develop predictive biomarkers of frailty, and to identify targets to delay or prevent frailty.
The Kuchina Lab develops and applies single-cell genomic and imaging approaches for understanding the behavior of bacterial communities such as biofilms and microbiota at the level of an individual organism.
The Moritz Lab develops and applies quantitative protein chemistry and proteomic techniques to study such diseases as atherosclerosis, inflammation and colorectal cancer.
The Ranish Lab uses the comprehensive and high-throughput methods of systems biology to study the composition and architecture of large molecular complexes.
The Shmulevich Lab develops and applies computational and mathematical approaches for modeling biological systems and analyzing large-scale data sets.
The Subramanian Lab seeks to extend investigations into innate immunity and NLR function using a combination of imaging, microarray, proteomic and bioinformatics approaches.
The Venkatesh Lab’s long-term goals are to define general principles of molecular recognition in the gut and to elucidate mechanisms by which microbial metabolites impact human physiology and health.