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Mona Singh

Photo of Mona Singh
Title/Position
Professor
Degree
Ph.D., Massachusetts Institute of Technology, 1995
mona  (@cs.princeton.edu) (609) 258-2087 420 Computer Science
Other Affiliations

Research

Interests: Computational molecular biology, as well as its interface with machine learning and algorithms.
Presidental Early Career Award (PECASE), 2001. ACM Fellow, 2019. ISCB Fellow, 2018.

Research Areas:

Active Research Projects:

Short Bio

Mona Singh is a professor of computer science and the Lewis Sigler Institute for Integrative Genomics. She has been on the faculty at Princeton University since 1999.   She received her A.B. and S.M degrees from Harvard University, and her Ph.D.  from MIT, all three in computer science.  She works broadly in computational molecular biology, as well as its interface with machine learning and algorithms.  Much of her work is on developing algorithms to decode genomes at the level of proteins and she is especially interested in developing data-driven methods for predicting and characterizing protein sequences, functions, interactions and networks, both in healthy and disease contexts.  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. She was named a Fellow of the ACM in 2019, and of the ISCB in 2018.

Selected Publications

  • "PertInInt: An Integrative, Analytical Approach to Rapidly Uncover Cancer Driver Genes with Perturbed Interactions and Functionalities."  S. N. Kobren, B. Chazelle and M. Singh. Cell Systems (2020) 11: 63-74.
  • "uKIN Combines New and Prior Information with Guided Network Propagation to Accurately Identify Disease Genes." B. Hristov, B. Chazelle and M. Singh. Cell Systems (2020) 10: 470. 
  • "Differential allele specific expression uncovers breast cancer genes dysregulated by cis noncoding mutations." P. Przytycki and M. Singh. Cell Systems (2020) 10:193. 
  • “Interaction-based discovery of functionally important genes in cancers.” D. Ghersi  and M. Singh. (2013) Nucleic Acids Res. 42: e18.
  • "Domain prediction with probabilistic directional context." A. Ochoa and M. Singh. Bioinformatics (2017) 33:2471-2478.
  • "A systematic survey of the Cys2His2 zinc finger DNA-binding landscape." A. Persikov, J. Wetzel, E. Rowland, B. Oakes, D. Xu, M. Singh and M. Noyes. Nucleic Acids Res. (2015) 43: 1965-1984.
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