Jenny Bryan

{{Short description|Data scientist, developer of R software}}

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| name = Jennifer "Jenny" Bryan

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| known_for = R packages

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| website = [https://jennybryan.org/ https://jennybryan.org]

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University of California, Berkeley {{small|(PhD)}}

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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, Canada and is known for creating open source tools which connect R to Google Sheets and Google Drive.{{cite web|title=.rprofile: Jenny Bryan|url=https://ropensci.org/blog/2017/12/08/rprofile-jenny-bryan/|first=Kelly|last=O'Briant|date=8 December 2017 |publisher=rOpenSci|doi=10.59350/p8h48-s7k80 |accessdate=4 February 2018|language=en}}{{cite web|title=GitHub profile of Jennifer (Jenny) Bryan |url=https://github.com/jennybc |publisher=GitHub|accessdate=4 February 2018|language=en}}{{cite news |last=Machlis |first=Sharon |date=2016-11-30 |title=What's up with RStudio's 2 high-profile hires? |url=https://www.computerworld.com/article/3146228/data-analytics/whats-up-with-rstudios-2-high-profile-hires.html |url-status=dead |archive-url=https://web.archive.org/web/20190401105228/https://www.computerworld.com/article/3146228/whats-up-with-rstudios-2-high-profile-hires.html |archive-date=2019-04-01 |accessdate=19 February 2018 |publisher=Computer World |language=en}}{{cite journal |last1=Hofmann |first1=Heike |last2=VanderPlas |first2=Susan |title=All of This Has Happened Before. All of This Will Happen Again: Data Science |journal=Journal of Computational and Graphical Statistics |date=19 December 2017 |volume=26 |issue=4 |pages=775–778 |doi=10.1080/10618600.2017.1385474|s2cid=126170766 }}

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.{{cite book|title=Happy Git and GitHub for the useR |url=http://happygitwithr.com/contrib.html|first=Jenny|last=Bryan|accessdate=4 February 2018|language=en}}{{cite web|title=Jennifer Bryan homepage |url=https://www.stat.ubc.ca/~jenny/people.html|accessdate=4 February 2018|language=en}}

Career

As an associate professor of statistics at the University of British Columbia,{{cite book|url=http://happygitwithr.com/contrib.html|title=Happy Git and GitHub for the useR|language=en|accessdate=4 February 2018}} 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,{{Cite journal|last1=Jenkins|first1=Jeremy L|last2=Urban|first2=Laszlo|date=2010|title=Fishing for neuroactive compounds|journal=Nature Chemical Biology|language=En|volume=6|issue=3|pages=172–173|doi=10.1038/nchembio.320|pmid=20154663|issn=1552-4469}} the development of an assay system in the multicellular animal Caenorhabditis elegans to test genetic interactions causing synthetic lethality in somatic cells,{{Cite journal|date=2009-12-15|title=InCytes from MBC, December 2009|journal=Molecular Biology of the Cell|language=en|volume=20|issue=24|pages=5037–5038|doi=10.1091/mbc.z09-00-0024|issn=1059-1524|pmc=2793281}} and a novel yeast-based model to search for modifier genes involved in cystic fibrosis.{{Cite journal|last=Blondel|first=Marc|date=2012-12-27|title=Flirting with CFTR modifier genes at happy hour|journal=Genome Medicine|volume=4|issue=12|pages=98|doi=10.1186/gm399|pmid=23270638|pmc=3580438|issn=1756-994X |doi-access=free }} Beyond biostatistics, Bryan has also contributed to medoids-based clustering methods.{{Cite journal|last=Van der Laan|first=Mark|date=2003|title=A new partitioning around medoids algorithm|journal=Journal of Statistical Computation and Simulation|volume=73|issue=8|pages=575–584|doi=10.1080/0094965031000136012|s2cid=17437463|url=http://biostats.bepress.com/cgi/viewcontent.cgi?article=1003&context=ucbbiostat|url-access=subscription}} Her general science contributions include a manifesto published in PLOS One on good practices for scientific computing{{Cite journal|last1=Wilson|first1=Greg|last2=Bryan|first2=Jennifer|last3=Cranston|first3=Karen|last4=Kitzes|first4=Justin|last5=Nederbragt|first5=Lex|last6=Teal|first6=Tracy K.|date=2017-06-22|title=Good enough practices in scientific computing|journal=PLOS Computational Biology|language=en|volume=13|issue=6|pages=e1005510|doi=10.1371/journal.pcbi.1005510|pmid=28640806|pmc=5480810|issn=1553-7358|bibcode=2017PLSCB..13E5510W |doi-access=free }} and an introduction to the Git version control system{{Cite journal|last=Bryan|first=Jenny|date=2018|title=Excuse me, do you have a moment to talk about version control?|journal=The American Statistician|volume=72|pages=20–27|doi=10.1080/00031305.2017.1399928|s2cid=125821034|url=https://figshare.com/articles/journal_contribution/5598787 }} for research data analysis.{{cite journal |last1=Baumer |first1=Benjamin S. |title=Lessons From Between the White Lines for Isolated Data Scientists |journal=The American Statistician |volume=72 |issue=1 |pages=66–71 |doi=10.1080/00031305.2017.1375985|url=https://scholarworks.smith.edu/mth_facpubs/35 |year=2018 |s2cid=126280044 |url-access=subscription }}{{cite journal |last1=Marwick |first1=Ben |last2=Boettiger |first2=Carl |last3=Mullen |first3=Lincoln |title=Packaging Data Analytical Work Reproducibly Using R (and Friends) |journal=The American Statistician |date=29 September 2017 |volume=72 |issue=1 |pages=80–88 |doi=10.1080/00031305.2017.1375986|s2cid=125412832 |url=http://ro.uow.edu.au/cgi/viewcontent.cgi?article=6445&context=smhpapers |url-access=subscription }}{{cite journal |last1=McNamara |first1=Amelia |last2=Horton |first2=Nicholas J. |last3=Baumer |first3=Benjamin S. |title=Greater Data Science at Baccalaureate Institutions |journal=Journal of Computational and Graphical Statistics |date=19 December 2017 |volume=26 |issue=4 |pages=781–783 |doi=10.1080/10618600.2017.1386568|arxiv=1710.08728 |bibcode=2017arXiv171008728M |s2cid=88522819 }}

Bryan's teaching activities at UBC included development of the Master of Data Science Program{{cite news|url=https://www.ubyssey.ca/news/new-masters-of-data-science-coming-to-ubc/|first=Helen|last=Zhou|title=New Master of Data Science coming to UBC| date=2016-02-29|publisher=The Ubyssey}} and new materials for the STAT 545 course.{{cite web|url=http://stat545.com/|title=Data wrangling, exploration, and analysis with R|last=Bryan|first=Jenny|date=2018|archive-url=https://web.archive.org/web/20180224035513/http://stat545.com/|archive-date=24 February 2018|url-status=|access-date=20 March 2018}} 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.{{cite news|url=https://www.theguardian.com/technology/2016/feb/12/women-considered-better-coders-hide-gender-github|author=Julia Carie Wong|title=Women considered better coders- but only if they hide their gender|work=The Guardian|date=2016-02-12}} Influential contributions include the use of Lego{{Cite web|url=https://speakerdeck.com/jennybc/data-rectangling|title=Data Rectangling (Talk presented at PLOTCON 2016)|last=Bryan|first=Jenny|date=2016}} and the concept of data rectangling{{Cite web|url=https://www.carlboettiger.info/2017/12/11/data-rectangling-with-jq/|title=Data Rectangling with jq|last=Boettiger.|first=Carl|date=Dec 11, 2017|website=Boettiger Group|access-date=20 March 2018}} for explaining programming concepts,{{Cite web|url=https://simplystatistics.org/2016/12/20/noncomprehensive-list-of-awesome/|title=A non-comprehensive list of awesome things other people did in 2016|last=Leek|first=Jeff|date=2016-12-20|website=Simply Stats|access-date=20 March 2018}}{{Cite web|url=https://www.mango-solutions.com/blog/earl-boston-revisited|archive-url=https://web.archive.org/web/20181014053022/https://www.mango-solutions.com/blog/earl-boston-revisited|url-status=usurped|archive-date=October 14, 2018|title=EARL Boston Revisited|date=5 Dec 2016|website=Mango Business Solutions|access-date=20 March 2018}} reproducible research,{{cite book | last = Kitzes | first = Justin | title = The practice of reproducible research : case studies and lessons from the data-intensive sciences | publisher = University of California Press | location = Oakland, California | year = 2018 | isbn = 9780520294752 }} and advice on project and workflow organisation.{{Cite web|url=https://www.tidyverse.org/articles/2017/12/workflow-vs-script/|title=Project-oriented workflow|date=2017|website=Tidyverse Blog|access-date=20 March 2018}}{{Cite web|url=http://blog.revolutionanalytics.com/2018/01/bryan-workflow.html|title=Do you have bad R habits? Here's how to identify and fix them.|last=Smith|first=David|date=2 January 2018|website=Revolutions: Daily news about using open source R for big data analysis, predictive modeling, data science, and visualization since 2008|access-date=20 March 2018}}{{cite journal |last1=Layton |first1=Richard |title=Influences of Reproducible Reporting on Work Flow |journal=Chance |date=19 November 2015 |volume=28 |issue=4 |pages=60–64 |doi=10.1080/09332480.2015.1120133|s2cid=61249336 }}

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,{{Cite web|url=http://blog.revolutionanalytics.com/2015/09/using-the-googlesheets-package-to-work-with-google-sheets.html|title=Using the googlesheets package to work with Google Sheets|last=de Vries|first=Andrie|date= 2 September 2015|website=Revolutions: Daily news about using open source R for big data analysis, predictive modeling, data science, and visualization since 2008|access-date=20 March 2018}} 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 [https://ropensci.org/ rOpenSci].{{cite web|url=https://ropensci.org/about/|title=rOpenSci: Meet Our Team}}{{cite web|title= Jenny Bryan's CV|url=http://www.math.ubc.ca/~jbryan/JennyCV.pdf |accessdate=4 February 2018|language=en}} She is also part of the [https://www.r-project.org/foundation/ R Foundation] [https://forwards.github.io/about/ Forwards] task force and a member of the editorial board of BMC Bioinformatics.{{cite web|title=StatsChat Jenny Bryan: "You need a huge tolerance for ambiguity" |first=Atakohu|last=Middleton|publisher=StatsChat|date=2017-12-15|url=https://www.statschat.org.nz/2017/12/15/jenny-bryan-you-need-a-huge-tolerance-for-ambiguity/ |accessdate=4 February 2018|language=en}} Previously, she worked as an Associate at the Boston Consulting Group in Boston, MA.

Personal life

Bryan lives with her husband, three children, and dog, Toby.{{cite web |last1=Robinson |first1=Emily |title=Does a tweet count as a citation? His name is Toby. |url=https://twitter.com/robinson_es/status/1051912120483414016 |website=Twitter |accessdate=15 October 2018}}

References

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