Mona Singh (scientist)
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 | This article's lead section may be too short to adequately summarize the key points. (September 2021) |
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 |
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]
Education
[edit]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
[edit]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
[edit]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
[edit]- ^ 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.
- ^ 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.
- ^ "Mona Singh". cs.princeton.edu. Retrieved 2018-03-12.
- ^ "Journal of Computational Biology | Mary Ann Liebert, Inc., publishers".
- ^ Anon (2019). "Notable alumni of Indian Springs". indiansprings.org. Archived from the original on 2020-05-12.
- ^ Mona Singh at the Mathematics Genealogy Project
- ^ Mona Singh at DBLP Bibliography Server
- ^ Mona Singh author profile page at the ACM Digital Library
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ Anon (2001). "The Presidential Early Career Award for Scientists and Engineers: Recipient Details |". nsf.gov. National Science Foundation. Retrieved 2019-03-22.
- ^ 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
