Laxmi Parida

Education

Parida was educated at New York University (NYU) where she was awarded a PhD in 1998 for research on algorithms for computational genomics supervised by Bud Mishra.[6]

Research and career

Parida's research interests are in computational genomics, population genomics, bioinformatics, cancer genomics, topological data analysis[1][7][8] and their applications to coronavirus disease 2019.[9][10]

Awards and honors

Parida was awarded Fellowship of the ISCB in 2020 for outstanding contributions to computational biology and bioinformatics.[11] She was also awarded an IBM Fellowshipand IBM Master Inventor status. She is a member of the Association for Computing Machinery (ACM) and the Society for Industrial and Applied Mathematics (SIAM).[8]

gollark: Because it became a political issue currently.
gollark: That still doesn't fix the data apparently being bad and open-submission.
gollark: And you shouldn't just go for the worst-case scenario (conveniently one making your preferred point best) when assuming things; you should find the most realistic one, and/or provide a range.
gollark: The US government has frequently been useless and incompetent at pandemic handling (halting the J&J vaccine and initially claiming masks didn't work are the two obvious things I can think of), but that doesn't mean that everything they say is wrong, or that belief in things that the government says is necessarily just because the government says it.
gollark: And apparently it's generally much more useful for seeing what might be an effect rather than collecting data on frequency of things.

References
  1. Laxmi Parida publications indexed by Google Scholar
  2. Laxmi Parida on LinkedIn
  3. Laxmi Parida at DBLP Bibliography Server
  4. Laxmi Parida publications from Europe PubMed Central
  5. Kann, Maricel G; Parida, Laxmi; Haferlach, Claudia; Rhrissorrakrai, Kahn; Utro, Filippo; Levovitz, Chaya; Kern, Wolfgang; Nadarajah, Niroshan; Twardziok, Sven; Hutter, Stephan; Meggendorfer, Manja; Walter, Wencke; Baer, Constance; Haferlach, Torsten (2019). "Dark-matter matters: Discriminating subtle blood cancers using the darkest DNA". PLOS Computational Biology. 15 (8): e1007332. doi:10.1371/journal.pcbi.1007332. ISSN 1553-7358. PMC 6742441. PMID 31469830.
  6. Parida, Laxmi (1998). Algorithmic techniques in Computational Genomics (PDF). nyu.edu (PhD thesis). New York University. OCLC 54015996. ProQuest 304440526.
  7. Laxmi Parida publications indexed by the Scopus bibliographic database. (subscription required)
  8. researcher.ibm.com/person/us-parida
  9. Koyama, Takahiko; Weeraratne, Dilhan; Snowdon, Jane L.; Parida, Laxmi (2020). "Emergence of Drift Variants That May Affect COVID-19 Vaccine Development and Antibody Treatment". Pathogens. 9 (5): 324. doi:10.3390/pathogens9050324. ISSN 2076-0817. PMC 7281497. PMID 32357545.
  10. Haiminen, Niina; Utro, Filippo; Seabolt, Ed; Parida, Laxmi (2020). "Functional pathways in respiratory tract microbiome separate COVID-19 from community-acquired pneumonia patients". bioRxiv. doi:10.1101/2020.05.01.073171.
  11. Anon (2020). "ISMB Distinguished Keynote: Laxmi Parida". iscb.org. International Society for Computational Biology. Retrieved 2020-07-07.
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