Currently there is a critical need for theoretical frameworks that synthesize high-throughput data into predictive models for medicine and bioengineering. Dr. Chandrasekaran will describe new tools and algorithms that address this challenge through reconstruction and modeling of metabolic and regulatory networks. These algorithms integrate diverse omics data and provide a holistic view of the cell. Using genome-scale network models for various model-organisms, he will demonstrate that these approaches allow us to accurately model the transcriptional and metabolic network states of the cell resulting from genetic, environmental and drug perturbations. They can enable model-driven genome engineering, identification of candidate drug targets, and synergistic drug combinations.
ABOUT THE SPEAKER
Dr. Chandrasekaran is a Junior Fellow at Harvard University and at the Broad Institute. He earned a Ph.D. in Biophysics and Computational Biology at the University of Illinois at Urbana-Champaign. He was elected as a Junior Fellow to the Harvard Society of Fellows in 2013, was a recipient of the Howard Hughes Medical Institute (HHMI) International Predoctoral Fellowship, the William Milton Fund, and Robert Emerson Fellowship and was a finalist for the 2012 Lemelson-MIT Illinois Student Award for innovation.