Christopher Henry’s primary research is in the field of computational biology with a focus on the prediction of phenotype from genome through the use of comparative genomics, metabolic modeling, and dynamic cellular community models.
His team at Argonne National Laboratory and the University of Chicago is currently involved in three primary projects: (i) development of methods, data, and software for automated reconstruction of genome-scale metabolic models in collaboration with researchers at Hope College, UChicago, Argonne, and Fellowship for Interpretation of Genomes, (ii) design and implementation of a minimal strain of B. subtilis in collaboration with researchers at UChicago, Argonne, and INRA in Paris France, and (iii) design and implementation of a large-scale simulation engine for cellular communities in collaboration with researchers at Yale University, University of Pittsburgh, UChicago, and Argonne.
Henry received his Ph.D. in chemical engineering from Northwestern University in 2007. He was a postdoctoral scholar at Argonne from 2007 to 2009 and was promoted to assistant computer scientist in 2009. He is also an adjunct professor in the Department of Chemical and Biological Engineering at Northwestern University. He received the Jay Bailey Young Investigator Best paper in Metabolic Engineering Award in 2012.
- Application of thermodynamics to metabolic modeling
- High-throughput reconstruction of genome-scale metabolic models
- Computational biology
- Model SEED
- DOE Systems Biology Knowledgebase