My group works broadly in computational molecular biology, as well as its interface with machine learning and algorithms. We leverage high-throughput biological datasets in order to develop data-driven algorithms for inferring protein interactions, specificity and networks; for predicting the impact of mutations and variation, especially in the context of disease; for uncovering protein functions via sequences and structures; and for analyzing biological networks in order to uncover cellular organization, functioning, and pathways. An appreciation of protein structure guides much of our research.
Professor of Computer Science
Lewis-Sigler Institute for Integrative Genomics
Department of Computer Science
msingh at cs.princeton.edu
Mailing Address: 244 Carl Icahn Lab, Princeton University, Princeton, NJ 08544