My group develops algorithms for a diverse set of problems in computational molecular biology. We are particularly interested in predicting specificity in protein interactions and uncovering how molecular interactions and functions vary across context, organisms and individuals. We leverage high-throughput biological datasets in order to develop data-driven 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 is a professor of computer science and the Lewis Sigler Institute for Integrative Genomics. She joined Princeton in 1999 as an assistant professor, became an associate professor in 2006 and was named a full professor in 2011.
She received her Ph.D. in computer science from MIT in 1996 after earning her master’s and bachelor’s degrees from Harvard. Her research interests involve developing and applying computational techniques to problems in molecular biology, with a focus on developing algorithms for genome-level analysis of protein structure and protein-protein interactions. She has been a member of the editorial board of the International Journal of Bioinformatics Research and Applications since 2004. Among her awards are the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2001, and the Rheinstein Junior Faculty Award, from Princeton’s School of Engineering and Applied Science in 2003.