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.
Mona Singh
Professor of Computer Science
Lewis-Sigler Institute for Integrative Genomics
Department of Computer Science
Princeton University
msingh at cs.princeton.edu
https://www.cs.princeton.edu/~mona/
Mailing Address: 244 Carl Icahn Lab, Princeton University, Princeton, NJ 08544