Jennifer (Jenny) Bryan
|Occupation||Software Engineer at RStudio, Associate Professor of Statistics at University of British Columbia|
|Education||Yale University, University of California, Berkeley|
Jennifer (Jenny) Bryan is a data scientist and an associate professor of statistics at the University of British Columbia where she developed the Master of Data Science Program. She is a statistician and software engineer at RStudio from Vancouver, Canada and is known for creating open source tools which connect R to Google Sheets and Google Drive.
As an associate professor of statistics at the University of British Columbia, 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, the development of an assay system in the multicellular animal Caenorhabditis elegans to test genetic interactions causing synthetic lethality in somatic cells, and a novel yeast-based model to search for modifier genes involved in cystic fibrosis. Beyond biostatistics, Bryan has also contributed to medoids-based clustering methods. Her general science contributions include a manifesto published in PLOS One on good practices for scientific computing and an introduction to the Git version control system for research data analysis.
Bryan's teaching activities at UBC included development of the Master of Data Science Program and new materials for the STAT 545 course. 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. As of late 2016 Bryan is on leave from her UBC position and is working at RStudio with a team led by Hadley Wickham.
Bryan has had experience with S and R since 1996. She is known for her open source contributions in R. Influential contributions include the use of Lego and the concept of data rectangling for explaining programming concepts, reproducible research, and advice on project and workflow organisation.
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. She is the primary developer of the R package googlesheets, that connects R to the Google Sheets service, 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. She is also part of the R Foundation Forwards task force and a member of the editorial board of BMC Bioinformatics. Previously, she worked as an Associate at the Boston Consulting Group in Boston, MA.
- Kelly O'Briant. ".rprofile: Jenny Bryan". rOpenSci. Retrieved 4 February 2018.
- "GitHub profile of Jennifer (Jenny) Bryan". GitHub. Retrieved 4 February 2018.
- Sharon Machlis (2016-11-30). "What's up with RStudio's 2 high-profile hires?". Computer World. Retrieved 19 February 2018.
- 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.
- Jenny Bryan. Happy Git and GitHub for the useR. Retrieved 4 February 2018.
- "Jennifer Bryan homepage". Retrieved 4 February 2018.
- Happy Git and GitHub for the useR. Retrieved 4 February 2018.
- 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.
- "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. PMC 2793281.
- 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.
- 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.
- 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. Bibcode:2017PLSCB..13E5510W. doi:10.1371/journal.pcbi.1005510. ISSN 1553-7358. PMC 5480810. PMID 28640806.
- 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.
- 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.
- 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.
- 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. Bibcode:2017arXiv171008728M. doi:10.1080/10618600.2017.1386568.
- Helen Zhou (2016-02-29). "New Master of Data Science coming to UBC". The Ubyssey.
- Bryan, Jenny (2018). "Data wrangling, exploration, and analysis with R". Archived from the original on 24 Feb 2018. Retrieved 20 March 2018.
- Julia Carie Wong (2016-02-12). "Women considered better coders- but only if they hide their gender". The Guardian.
- Bryan, Jenny (2016). "Data Rectangling (Talk presented at PLOTCON 2016)".
- Boettiger., Carl (Dec 11, 2017). "Data Rectangling with jq". Boettiger Group. Retrieved 20 March 2018.
- Leek, Jeff (2016-12-20). "A non-comprehensive list of awesome things other people did in 2016". Simply Stats. Retrieved 20 March 2018.
- "EARL Boston Revisited". Mango Business Solutions. 5 Dec 2016. Retrieved 20 March 2018.
- 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.
- "Project-oriented workflow". Tidyverse Blog. 2017. Retrieved 20 March 2018.
- 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.
- Layton, Richard (19 November 2015). "Influences of Reproducible Reporting on Work Flow". CHANCE. 28 (4): 60–64. doi:10.1080/09332480.2015.1120133.
- 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.
- "rOpenSci: Meet Our Team".
- "Jenny Bryan's CV" (PDF). Retrieved 4 February 2018.
- Atakohu Middleton (2017-12-15). "StatsChat Jenny Bryan: "You need a huge tolerance for ambiguity"". StatsChat. Retrieved 4 February 2018.
- Robinson, Emily. "Does a tweet count as a citation? His name is Toby". Twitter. Retrieved 15 October 2018.
- “.rprofile: Jenny Bryan” – ROpenSci Interview
- “Happy Git and GitHub for the user” – Happy Git and GitHub for the useR Contributors Page
- “Jennifer (Jenny) Bryan” – Github Profile
- “Jenny Bryan: “You need a huge tolerance for ambiguity”” - StatsChat Interview