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Jennifer (Jenny) Bryan

From EverybodyWiki Bios & Wiki

Jennifer (Jenny) Bryan
Born
💼 Occupation

Jennifer (Jenny) Bryan is an associate professor of statistics at the University of British Columbia. She is a statistician and software engineer at RStudio from Vancouver, Canada.[1][2][3]

Education[edit]

Bryan earned her Bachelor’s degree in Economics and German literature from Yale University in 1992 and her PhD in Biostatistics from University of California, Berkeley in 2001.[4][5]

Career[edit]

As an associate professor of statistics at the University of British Columbia[6], Bryan worked on biostatistics with a focus on gene expression and microarray data. Notable projects she has contributed to include the quantification of photomotor responses in larval zebrafish,[7] the development of an assay system in the multicellular animal Caenorhabditis elegans to test genetic interactions causing synthetic lethality in somatic cells,[8] and a novel yeast-based model to search for modifier genes involved in cystic fibrosis.[9] Beyond biostatistics, Bryan has also contributed to medoids-based clustering methods.[10] Her general science contributions include manifesto published in PLOS One on good practices for scientific computing,[11] and an introduction[12] to the Git version control system for research data analysis.[13][14][15]

Bryan's teaching activities at UBC included development of the Master of Data Science Program[16], and new materials for the STAT 545 course.[17] Under Bryan's direction, the STAT 545 course became notable as an early example of a data science course taught in a statistics program. It is also notable for its focus on teaching using modern R packages, Git and GitHub, for its extensive sharing of teaching materials openly online, and for its a strong emphasis on practical data cleaning, exploration, and visualization skills rather than algorithms and theory.[18]

As of late 2016 Bryan is on leave from her UBC position and is working at RStudio with a team led by Hadley Wickham[3].

Bryan has had experience with S and R since 1996.[1][6] She is known for her open source contributions in R.[19] Influential contributions include the use of Lego[20] and the concept of data rectangling[21] for explaining programming concepts[22][23], reproducible research[24], and advice on project and workflow organisation[25][26][27].

Bryan is well-known for her work on efficient methods of working in spreadsheets, and the connection between R and spreadsheet software such as Excel and Google Sheets.[28]. She is the primary developer of the R package googlesheets, that connects R to the Google Sheets service[29], and googledrive, an R package for interfacing between R and Google Drive.

Bryan is known for her work in teaching, contributions to R packages, and her involvement with the leadership committee at rOpenSci.[30][31] She is also part of the R FoundationForwards task force, and a member of the editorial board of BMC Bioinformatics.[31][32] Previously, she worked as an Associate at the Boston Consulting Group in Boston, MA.[5]

Personal Life[edit]

Bryan lives with her husband and three children.[1][32]

References[edit]

  1. ↑ 1.0 1.1 1.2 Kelly O'Briant. ".rprofile: Jenny Bryan". rOpenSci. Retrieved 4 February 2018.
  2. ↑ "GitHub profile of Jennifer (Jenny) Bryan". GitHub. Retrieved 4 February 2018.
  3. ↑ 3.0 3.1 Sharon Machlis (2016-11-30). "What's up with RStudio's 2 high-profile hires?". Computer World. Retrieved 19 February 2018.
  4. ↑ Jenny Bryan. "Happy Git and GitHub for the useR". Retrieved 4 February 2018.
  5. ↑ 5.0 5.1 "Jennifer Bryan homepage". Retrieved 4 February 2018.
  6. ↑ 6.0 6.1 "Happy Git and GitHub for the useR". Retrieved 4 February 2018.
  7. ↑ Jenkins, Jeremy L; Urban, Laszlo (2010). "Fishing for neuroactive compounds". Nature Chemical Biology. 6 (3): 172–173. doi:10.1038/nchembio.320. ISSN 1552-4469. PMID 20154663.
  8. ↑ "InCytes from MBC, December 2009". Molecular Biology of the Cell. 20 (24): 5037–5038. 2009-12-15. doi:10.1091/mbc.z09-00-0024. ISSN 1059-1524.
  9. ↑ Blondel, Marc (2012-12-27). "Flirting with CFTR modifier genes at happy hour". Genome Medicine. 4 (12): 98. doi:10.1186/gm399. ISSN 1756-994X. PMC 3580438. PMID 23270638.
  10. ↑ Van der Laan, Mark (2003). "A new partitioning around medoids algorithm". Journal of Statistical Computation and Simulation. 73 (8): 575–584. doi:10.1080/0094965031000136012.
  11. ↑ Wilson, Greg; Bryan, Jennifer; Cranston, Karen; Kitzes, Justin; Nederbragt, Lex; Teal, Tracy K. (2017-06-22). "Good enough practices in scientific computing". PLOS Computational Biology. 13 (6): e1005510. doi:10.1371/journal.pcbi.1005510. ISSN 1553-7358. PMC 5480810. PMID 28640806.
  12. ↑ Bryan, Jenny (2018). "Excuse me, do you have a moment to talk about version control?". The American Statistician. 72: 20–27. doi:10.1080/00031305.2017.1399928.
  13. ↑ Baumer, Benjamin S. (29 September 2017). "Lessons From Between the White Lines for Isolated Data Scientists". The American Statistician. 72 (1): 66–71. doi:10.1080/00031305.2017.1375985.
  14. ↑ Marwick, Ben; Boettiger, Carl; Mullen, Lincoln (29 September 2017). "Packaging Data Analytical Work Reproducibly Using R (and Friends)". The American Statistician. 72 (1): 80–88. doi:10.1080/00031305.2017.1375986.
  15. ↑ McNamara, Amelia; Horton, Nicholas J.; Baumer, Benjamin S. (19 December 2017). "Greater Data Science at Baccalaureate Institutions". Journal of Computational and Graphical Statistics. 26 (4): 781–783. arXiv:1710.08728. doi:10.1080/10618600.2017.1386568.
  16. ↑ Helen Zhou (2016-02-29). The Ubyssey https://www.ubyssey.ca/news/new-masters-of-data-science-coming-to-ubc/. Missing or empty |title= (help)
  17. ↑ Bryan, Jenny (2018). "Data wrangling, exploration, and analysis with R". Archived from the original on 24 Feb 2018. Retrieved 20 March 2018.
  18. ↑ Marwick, Ben; Boettiger, Carl; Mullen, Lincoln (29 September 2017). "Packaging Data Analytical Work Reproducibly Using R (and Friends)". The American Statistician. 72 (1): 80–88. doi:10.1080/00031305.2017.1375986.
  19. ↑ Julia Carie Wong (2016-02-12). "Women considered better coders- but only if they hide their gender". The Guardian.
  20. ↑ Bryan, Jenny (2016). "Data Rectangling (Talk presented at PLOTCON 2016)".
  21. ↑ Boettiger., Carl (Dec 11, 2017). "Data Rectangling with jq". Boettiger Group. Retrieved 20 March 2018.
  22. ↑ Leek, Jeff (20 December 2016). "A non-comprehensive list of awesome things other people did in 2016". Simply Stats. Retrieved 20 March 2018.
  23. ↑ "EARL Boston Revisited". Mango Business Solutions. 5 Dec 2016. Retrieved 20 March 2018.
  24. ↑ Kitzes, Justin (2018). The practice of reproducible research : case studies and lessons from the data-intensive sciences. Oakland, California: University of California Press. ISBN 9780520294752. Search this book on
  25. ↑ "Project-oriented workflow". Tidyverse Blog. 2017. Retrieved 20 March 2018.
  26. ↑ Smith, David (2 January 2018). "Do you have bad R habits? Here's how to identify and fix them". Revolutions: Daily news about using open source R for big data analysis, predictive modeling, data science, and visualization since 2008. Retrieved 20 March 2018.
  27. ↑ Layton, Richard (19 November 2015). "Influences of Reproducible Reporting on Work Flow". CHANCE. 28 (4): 60–64. doi:10.1080/09332480.2015.1120133.
  28. ↑ Hofmann, Heike; VanderPlas, Susan (19 December 2017). "All of This Has Happened Before. All of This Will Happen Again: Data Science". Journal of Computational and Graphical Statistics. 26 (4): 775–778. doi:10.1080/10618600.2017.1385474.
  29. ↑ de Vries, Andrie (2 September 2015). "Using the googlesheets package to work with Google Sheets". Revolutions: Daily news about using open source R for big data analysis, predictive modeling, data science, and visualization since 2008. Retrieved 20 March 2018.
  30. ↑ "rOpenSci: Meet Our Team".
  31. ↑ 31.0 31.1 "Jenny Bryan's CV" (PDF). Retrieved 4 February 2018.
  32. ↑ 32.0 32.1 Atakohu Middleton (2017-12-15). "StatsChat Jenny Bryan: "You need a huge tolerance for ambiguity"". StatsChat. Retrieved 4 February 2018.

External links[edit]


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