Quick links

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.

Research Areas:

Active Research Projects:

  • Computational Molecular Biology

Short Bio

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. 

Selected Publications

  • “molBLOCKS: decomposing small molecule sets and uncovering enriched fragments.” Ghersi D, Singh M. (2014) Bioinformatics. Apr 16. [Epub ahead of print]
  • “Computational assessment of the cooperativity between RNA binding proteins and MicroRNAs in Transcript Decay.” Jiang P, Singh M, Coller HA. (2013) PLoS Comput Biol. 9: e1003075.
  • “CCAT: Combinatorial Code Analysis Tool for transcriptional regulation.” Jiang P, Singh M. (2013) Nucleic Acids Res. 42: 2833-47.
  • “Interaction-based discovery of functionally important genes in cancers.” Ghersi D, Singh M. (2013) Nucleic Acids Res. 42: e18.
  • “Deep sequencing of large library selections allows computational discovery of diverse sets of zinc fingers that bind common targets.” Persikov AV, Rowland EF, Oakes BL, Singh M, Noyes MB. (2013) Nucleic Acids Res. 42: 1497-508.
Follow us: Facebook Twitter Linkedin