Biography:Jenny Bryan

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Short description: Data scientist, developer of R software
Jennifer "Jenny" Bryan
Occupation
Known forR packages
Academic background
Alma materYale University (B.A.)
University of California, Berkeley (PhD)
Websitehttps://jennybryan.org

Jennifer "Jenny" Bryan is a data scientist and an associate professor of statistics at the University of British Columbia where she developed the Master in Data Science Program. She is a statistician and software engineer at RStudio from Vancouver and is known for creating open source tools which connect R to Google Sheets and Google Drive.[1][2][3][4]

Education

Bryan earned her Bachelor of Arts in Economics and German literature from Yale University in 1992 and her PhD in Biostatistics from University of California, Berkeley in 2001.[5][6]

Career

As an associate professor of statistics at the University of British Columbia,[7] Bryan worked on biostatistics with a focus on gene expression and microarray data. Notable projects to which she has contributed include the quantification of photomotor responses in larval zebrafish,[8] the development of an assay system in the multicellular animal Caenorhabditis elegans to test genetic interactions causing synthetic lethality in somatic cells,[9] and a novel yeast-based model to search for modifier genes involved in cystic fibrosis.[10] Beyond biostatistics, Bryan has also contributed to medoids-based clustering methods.[11] Her general science contributions include a manifesto published in PLOS One on good practices for scientific computing[12] and an introduction to the Git version control system[13] for research data analysis.[14][15][16]

Bryan's teaching activities at UBC included development of the Master of Data Science Program[17] and new materials for the STAT 545 course.[18] 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, its extensive sharing of teaching materials openly online, and its strong emphasis on practical data cleaning, exploration, and visualization skills, rather than algorithms and theory.[15] 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][7] 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.[4] She is the primary developer of the R package googlesheets, that connects R to the Google Sheets service,[28] and googledrive, an R package for interfacing between R and Google Drive.

Bryan is known for her work in teaching, her contributions to R packages, and her involvement with the leadership committee at rOpenSci.[29][30] She is also part of the R Foundation Forwards task force and a member of the editorial board of BMC Bioinformatics.[30][31] Previously, she worked as an Associate at the Boston Consulting Group in Boston, MA.[6]

Personal life

Bryan lives with her husband, three children, and dog, Toby.[1][31][32]

References

  1. ↑ 1.0 1.1 1.2 O'Briant, Kelly (8 December 2017). ".rprofile: Jenny Bryan" (in en). rOpenSci. doi:10.59350/p8h48-s7k80. https://ropensci.org/blog/2017/12/08/rprofile-jenny-bryan/. Retrieved 4 February 2018. 
  2. ↑ "GitHub profile of Jennifer (Jenny) Bryan" (in en). GitHub. https://github.com/jennybc. Retrieved 4 February 2018. 
  3. ↑ 3.0 3.1 Machlis, Sharon (2016-11-30). "What's up with RStudio's 2 high-profile hires?" (in en). Computer World. https://www.computerworld.com/article/3146228/data-analytics/whats-up-with-rstudios-2-high-profile-hires.html. Retrieved 19 February 2018. 
  4. ↑ 4.0 4.1 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. 
  5. ↑ Bryan, Jenny (in en). Happy Git and GitHub for the useR. http://happygitwithr.com/contrib.html. Retrieved 4 February 2018. 
  6. ↑ 6.0 6.1 "Jennifer Bryan homepage" (in en). https://www.stat.ubc.ca/~jenny/people.html. Retrieved 4 February 2018. 
  7. ↑ 7.0 7.1 (in en) Happy Git and GitHub for the useR. http://happygitwithr.com/contrib.html. Retrieved 4 February 2018. 
  8. ↑ Jenkins, Jeremy L; Urban, Laszlo (2010). "Fishing for neuroactive compounds" (in En). Nature Chemical Biology 6 (3): 172–173. doi:10.1038/nchembio.320. ISSN 1552-4469. PMID 20154663. 
  9. ↑ "InCytes from MBC, December 2009" (in en). Molecular Biology of the Cell 20 (24): 5037–5038. 2009-12-15. doi:10.1091/mbc.z09-00-0024. ISSN 1059-1524. 
  10. ↑ 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. PMID 23270638. 
  11. ↑ 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. http://biostats.bepress.com/cgi/viewcontent.cgi?article=1003&context=ucbbiostat. 
  12. ↑ Wilson, Greg; Bryan, Jennifer; Cranston, Karen; Kitzes, Justin; Nederbragt, Lex; Teal, Tracy K. (2017-06-22). "Good enough practices in scientific computing" (in en). PLOS Computational Biology 13 (6): e1005510. doi:10.1371/journal.pcbi.1005510. ISSN 1553-7358. PMID 28640806. Bibcode: 2017PLSCB..13E5510W. 
  13. ↑ 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. https://figshare.com/articles/journal_contribution/5598787. 
  14. ↑ Baumer, Benjamin S. (2018). "Lessons From Between the White Lines for Isolated Data Scientists". The American Statistician 72 (1): 66–71. doi:10.1080/00031305.2017.1375985. https://scholarworks.smith.edu/mth_facpubs/35. 
  15. ↑ 15.0 15.1 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. http://ro.uow.edu.au/cgi/viewcontent.cgi?article=6445&context=smhpapers. 
  16. ↑ 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. doi:10.1080/10618600.2017.1386568. Bibcode: 2017arXiv171008728M. 
  17. ↑ Zhou, Helen (2016-02-29). "New Master of Data Science coming to UBC". The Ubyssey. https://www.ubyssey.ca/news/new-masters-of-data-science-coming-to-ubc/. 
  18. ↑ Bryan, Jenny (2018). "Data wrangling, exploration, and analysis with R". http://stat545.com/. 
  19. ↑ Julia Carie Wong (2016-02-12). "Women considered better coders- but only if they hide their gender". The Guardian. https://www.theguardian.com/technology/2016/feb/12/women-considered-better-coders-hide-gender-github. 
  20. ↑ Bryan, Jenny (2016). "Data Rectangling (Talk presented at PLOTCON 2016)". https://speakerdeck.com/jennybc/data-rectangling. 
  21. ↑ Boettiger., Carl (Dec 11, 2017). "Data Rectangling with jq". https://www.carlboettiger.info/2017/12/11/data-rectangling-with-jq/. 
  22. ↑ Leek, Jeff (2016-12-20). "A non-comprehensive list of awesome things other people did in 2016". https://simplystatistics.org/2016/12/20/noncomprehensive-list-of-awesome/. 
  23. ↑ "EARL Boston Revisited". 5 Dec 2016. https://www.mango-solutions.com/blog/earl-boston-revisited. 
  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. 
  25. ↑ "Project-oriented workflow". 2017. https://www.tidyverse.org/articles/2017/12/workflow-vs-script/. 
  26. ↑ Smith, David (2 January 2018). "Do you have bad R habits? Here's how to identify and fix them.". http://blog.revolutionanalytics.com/2018/01/bryan-workflow.html. 
  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. ↑ de Vries, Andrie (2 September 2015). "Using the googlesheets package to work with Google Sheets". http://blog.revolutionanalytics.com/2015/09/using-the-googlesheets-package-to-work-with-google-sheets.html. 
  29. ↑ "rOpenSci: Meet Our Team". https://ropensci.org/about/. 
  30. ↑ 30.0 30.1 "Jenny Bryan's CV" (in en). http://www.math.ubc.ca/~jbryan/JennyCV.pdf. Retrieved 4 February 2018. 
  31. ↑ 31.0 31.1 Middleton, Atakohu (2017-12-15). "StatsChat Jenny Bryan: "You need a huge tolerance for ambiguity"" (in en). StatsChat. https://www.statschat.org.nz/2017/12/15/jenny-bryan-you-need-a-huge-tolerance-for-ambiguity/. Retrieved 4 February 2018. 
  32. ↑ Robinson, Emily. "Does a tweet count as a citation? His name is Toby.". https://twitter.com/robinson_es/status/1051912120483414016. Retrieved 15 October 2018. 

External links



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