Mona Singh (scientist)

Last updated
Mona Singh
Education Harvard University (BA)
Massachusetts Institute of Technology (PhD)
Awards ACM Fellow (2019)
ISCB Fellow (2018) [1]
PECASE (2001)
Scientific career
Fields Genomics
Bioinformatics
Computational biology
Institutions Princeton University
Thesis Learning algorithms with applications to robot navigation and protein folding  (1996)
Doctoral advisor Ron Rivest
Bonnie Berger [2]
Website www.cs.princeton.edu/~mona/ OOjs UI icon edit-ltr-progressive.svg

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. [3] Since 2021, she has been the Editor-in-Chief of the Journal of Computational Biology. [4]

Contents

Education

Singh was educated at Indian Springs School, [5] Harvard University, and the Massachusetts Institute of Technology (MIT), where she was awarded a PhD in 1996 [2] for research supervised by Ron Rivest and Bonnie Berger. [6]

Career and research

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

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]

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References

  1. 1 2 Anon (2019). "ISCB Fellows". iscb.org. International Society for Computational Biology. Archived from the original on 2017-03-20. Retrieved 2018-03-12.
  2. 1 2 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. Lock-green.svg
  3. "Mona Singh". cs.princeton.edu. Retrieved 2018-03-12.
  4. "Journal of Computational Biology | Mary Ann Liebert, Inc., publishers".
  5. Anon (2019). "Notable alumni of Indian Springs". indiansprings.org. Archived from the original on 2020-05-12.
  6. Mona Singh at the Mathematics Genealogy Project OOjs UI icon edit-ltr-progressive.svg
  7. Mona Singh at DBLP Bibliography Server OOjs UI icon edit-ltr-progressive.svg
  8. Mona Singh author profile page at the ACM Digital Library OOjs UI icon edit-ltr-progressive.svg
  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