My group develops algorithms for a diverse set of problems in computational molecular biology. We are particularly interested in leveraging high-throughput biological datasets in order to develop data-driven methods for predicting specificity in protein interactions and for uncovering how molecular interactions and functions vary across context, organisms and individuals. We are currently developing and applying algorithms for predicting protein interactions and specificity; for analyzing biological networks in order to uncover cellular organization, functioning, and pathways; for uncovering protein functions via sequences and structures; and for analyzing proteomics and sequencing data. An appreciation of protein structure guides much of our research.
Mona Singh
Professor of Computer Science
Lewis-Sigler Institute for Integrative Genomics
Department of Computer Science
Princeton University
msingh at cs.princeton.edu
http://www.cs.princeton.edu/~mona/
Mailing Address: 244 Carl Icahn Lab, Princeton University, Princeton, NJ 08544