Aaron Brandes is a computational biologist in the Medical and Population Genetics Program at the Broad Institute of MIT and Harvard. He develops and applies computational methods for the analysis of flow cytometry data in immunological contexts. His current projects include immune system profiling of responses to influenza vaccine in the young and the elderly, and the characterization of subpopulations of Natural Killer Cells in human peripheral blood.
Brandes was previously a computational biologist in the Genome Sequencing and Analysis Program where he developed an algorithm for integrating gene expression into metabolic models of microorganisms. He also contributed to related work predicting the effect of drug treatments on the production of mycolic acid by M. tuberculosis.
Prior to joining the Broad Institute in 2006, Brandes had significant experience in industry as a software engineer, followed by work as a computational biologist in the laboratory of George Church at the Harvard Medical School and at Helicos Biosciences.
Brandes earned a Sc.B. in physics from Brown University, an M.A. in mathematics from University of California, Berkeley, an M.S. in biology from Tufts University and a Ph.D. in media arts and sciences from MIT.
Colijn C, Brandes A, et al. Interpreting expression data with metabolic flux models: predicting Mycobacterium tuberculosis mycolic acid production. PLoS Computational Biology. 2009 Aug;5(8):e1000489.doi:10.1371/journal.pcbi.1000489
Weinberger DM, et al. Pneumococcal capsular polysaccharide structure predicts serotype prevalence. PLoS Pathogens. 2009 Jun;5(6): e1000476. Epub 2009 Jun 12.