Wikipedia

Mona Singh (scientist)

For the actress, model and comedian, see Mona Singh.

Mona Singh is an American computer scientist and an expert in computational molecular biology and bioinformatics. She is the Wang Family Professor in Computer Science in the Lewis-Sigler Institute for Integrative Genomics and the Department of Computer Science at Princeton University.[4] Since 2021, she has been the Editor-in-Chief of the Journal of Computational Biology[5].

Mona Singh
EducationIndian Springs School[3]
Alma materHarvard University (AB)
Massachusetts Institute of Technology (PhD)
AwardsACM Fellow (2019)
ISCB Fellow (2018)[1]
PECASE (2001)
Scientific career
FieldsGenomics
Bioinformatics
Computational biology
InstitutionsPrinceton University
ThesisLearning algorithms with applications to robot navigation and protein folding (1996)
Doctoral advisorRon Rivest
Bonnie Berger[2]
Websitewww.cs.princeton.edu/~mona/ Edit this at Wikidata

Education

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Singh was educated at Indian Springs School,[3] Harvard University and Massachusetts Institute of Technology where she was awarded a PhD in 1996[2] for research supervised by Ron Rivest and Bonnie Berger.[6]

Career and research

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Singh's research interests[7][8] are in computational biology, genomics, bioinformatics and their interfaces with machine learning and algorithms.[9][10][11][12]

Awards and honors

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Singh was awarded a Presidential Early Career Award for Scientists and Engineers (PECASE) from the National Science Foundation (NSF) in 2001.[13] She was elected a Fellow of the International Society for Computational Biology (ISCB) in 2018 for “outstanding contributions to the fields of computational biology and bioinformatics”.[1] She was elected an ACM Fellow in 2019 “for contributions to computational biology, spearheading algorithmic and machine learning approaches for characterizing proteins and their interactions”.[14]

References

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  1. ^ a b Anon (2019). "ISCB Fellows". iscb.org. International Society for Computational Biology. Archived from the original on 2017-03-20. Retrieved 2018-03-12.
  2. ^ a b Singh, Mona (1996). Learning algorithms with applications to robot navigation and protein folding. mit.edu (PhD thesis). Cambridge: Massachusetts Institute of Technology. hdl:1721.1/40579. OCLC 680493381.  
  3. ^ a b Anon (2019). "Notable alumni of Indian Springs". indiansprings.org. Archived from the original on 2020-05-12.
  4. ^ "Mona Singh". cs.princeton.edu. Retrieved 2018-03-12.
  5. ^ "Journal of Computational Biology | Mary Ann Liebert, Inc., publishers".
  6. ^ Mona Singh at the Mathematics Genealogy Project  
  7. ^ Mona Singh at DBLP Bibliography Server  
  8. ^ Mona Singh author profile page at the ACM Digital Library  
  9. ^ Capra, John A.; Singh, Mona (2007). "Predicting functionally important residues from sequence conservation". Bioinformatics. 23 (15): 1875–1882. doi:10.1093/bioinformatics/btm270. ISSN 1460-2059. PMID 17519246.
  10. ^ Nabieva, E.; Jim, K.; Agarwal, A.; Chazelle, B.; Singh, M. (2005). "Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps". Bioinformatics. 21 (Suppl 1): i302–i310. doi:10.1093/bioinformatics/bti1054. ISSN 1367-4803. PMID 15961472.
  11. ^ Capra, John A.; Laskowski, Roman A.; Thornton, Janet M.; Singh, Mona; Funkhouser, Thomas A. (2009). "Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence Conservation and 3D Structure". PLOS Computational Biology. 5 (12): e1000585. Bibcode:2009PLSCB...5E0585C. doi:10.1371/journal.pcbi.1000585. ISSN 1553-7358. PMC 2777313. PMID 19997483.
  12. ^ Zhao, X.; Singh, M.; Malashkevich, V. N.; Kim, P. S. (2000). "Structural characterization of the human respiratory syncytial virus fusion protein core". Proceedings of the National Academy of Sciences. 97 (26): 14172–14177. Bibcode:2000PNAS...9714172Z. doi:10.1073/pnas.260499197. ISSN 0027-8424. PMC 18890. PMID 11106388.
  13. ^ Anon (2001). "The Presidential Early Career Award for Scientists and Engineers: Recipient Details |". nsf.gov. National Science Foundation. Retrieved 2019-03-22.
  14. ^ Anon (2019), "2019 ACM Fellows Recognized for Far-Reaching Accomplishments that Define the Digital Age", acm.org, New York, NY: Association for Computing Machinery, retrieved 2019-12-11
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