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{{short description|Data scientist, developer of R software}}
{{Short description|Data scientist, developer of R software}}
{{Infobox academic
{{Infobox academic
| honorific_prefix = <!-- see [[MOS:HONOURIFIC]] -->
| honorific_prefix = <!-- see [[MOS:HONOURIFIC]] -->
| name = Jennifer (Jenny) Bryan
| name = Jennifer "Jenny" Bryan
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| occupation = [[Software Engineer]] at [[RStudio]], [[Associate Professor]] of [[Statistics]] at [[University of British Columbia]]
* [[Software engineer]] at [[Posit PBC]] (formerly RStudio PBC)
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* [[Associate Professor]] at [[University of British Columbia]]
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| website = [https://jennybryan.org/ https://jennybryan.org]
| education = [[Yale University]], [[University of California, Berkeley]]
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| alma_mater = [[Yale University]] {{small|([[Bachelor of Arts|B.A.]])}}<br>[[University of California, Berkeley]] {{small|([[Doctor of Philosophy|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|Vancouver, Canada]] and is known for creating open source tools which connect [[R (programming language)|R]] to [[Google Sheets]] and [[Google Drive]].<ref name=rprofile>{{cite web|title=.rprofile: Jenny Bryan|url=https://ropensci.org/blog/2017/12/08/rprofile-jenny-bryan/|author=Kelly O'Briant|publisher=rOpenSci|accessdate=4 February 2018|language=en}}</ref><ref>{{cite web|title=GitHub profile of Jennifer (Jenny) Bryan |url=https://github.com/jennybc |publisher=GitHub|accessdate=4 February 2018|language=en}}</ref><ref name=highprofile>{{cite news|title = What's up with RStudio's 2 high-profile hires?|author=Sharon Machlis|url=https://www.computerworld.com/article/3146228/data-analytics/whats-up-with-rstudios-2-high-profile-hires.html|publisher=Computer World|date=2016-11-30|accessdate=19 February 2018|language=en}}</ref><ref name="hofmann">{{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}}</ref>
'''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|Vancouver, Canada]] and is known for creating open source tools which connect [[R (programming language)|R]] to [[Google Sheets]] and [[Google Drive]].<ref name=rprofile>{{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}}</ref><ref>{{cite web|title=GitHub profile of Jennifer (Jenny) Bryan |url=https://github.com/jennybc |publisher=GitHub|accessdate=4 February 2018|language=en}}</ref><ref name="highprofile">{{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}}</ref><ref name="hofmann">{{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 }}</ref>


== Education ==
== Education ==
Bryan earned her [[Bachelor’s degree]] in [[Economics]] and [[German literature]] from [[Yale University]] in 1992 and her [[Doctor of Philosophy|PhD]] in [[Biostatistics]] from [[University of California, Berkeley]] in 2001.<ref>{{cite book|title=Happy Git and GitHub for the useR |url=http://happygitwithr.com/contrib.html|author=Jenny Bryan|accessdate=4 February 2018|language=en}}</ref><ref name=homepage>{{cite web|title=Jennifer Bryan homepage |url=https://www.stat.ubc.ca/~jenny/people.html|accessdate=4 February 2018|language=en}}</ref>
Bryan earned her [[Bachelor of Arts]] in [[Economics]] and [[German literature]] from [[Yale University]] in 1992 and her [[Doctor of Philosophy|PhD]] in [[Biostatistics]] from [[University of California, Berkeley]] in 2001.<ref>{{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}}</ref><ref name=homepage>{{cite web|title=Jennifer Bryan homepage |url=https://www.stat.ubc.ca/~jenny/people.html|accessdate=4 February 2018|language=en}}</ref>


== Career ==
== Career ==
As an [[associate professor]] of [[statistics]] at the [[University of British Columbia]],<ref name="happygit">{{cite book|url=http://happygitwithr.com/contrib.html|title=Happy Git and GitHub for the useR|language=en|accessdate=4 February 2018}}</ref> 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]],<ref>{{Cite journal|last=Jenkins|first=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}}</ref> the development of an assay system in the multicellular animal ''[[Caenorhabditis elegans]]'' to test genetic interactions causing synthetic lethality in somatic cells,<ref>{{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}}</ref> and a novel yeast-based model to search for modifier genes involved in [[cystic fibrosis]].<ref>{{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}}</ref> Beyond biostatistics, Bryan has also contributed to [[medoid]]s-based [[Cluster analysis|clustering]] methods.<ref>{{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|url=http://biostats.bepress.com/cgi/viewcontent.cgi?article=1003&context=ucbbiostat}}</ref> Her general science contributions include a manifesto published in ''[[PLOS One]]'' on good practices for scientific computing<ref>{{Cite journal|last=Wilson|first=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}}</ref> and an introduction to the [[Git]] [[version control]] system<ref>{{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}}</ref> for research data analysis.<ref>{{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 }}</ref><ref name="Analytical Work Reproducibly Using R 2017">{{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|url=http://ro.uow.edu.au/cgi/viewcontent.cgi?article=6445&context=smhpapers }}</ref><ref>{{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 }}</ref>
As an [[associate professor]] of [[statistics]] at the [[University of British Columbia]],<ref name="happygit">{{cite book|url=http://happygitwithr.com/contrib.html|title=Happy Git and GitHub for the useR|language=en|accessdate=4 February 2018}}</ref> 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]],<ref>{{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}}</ref> the development of an assay system in the multicellular animal ''[[Caenorhabditis elegans]]'' to test genetic interactions causing synthetic lethality in somatic cells,<ref>{{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}}</ref> and a novel yeast-based model to search for modifier genes involved in [[cystic fibrosis]].<ref>{{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 }}</ref> Beyond biostatistics, Bryan has also contributed to [[medoid]]s-based [[Cluster analysis|clustering]] methods.<ref>{{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}}</ref> Her general science contributions include a manifesto published in ''[[PLOS One]]'' on good practices for scientific computing<ref>{{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 }}</ref> and an introduction to the [[Git]] [[version control]] system<ref>{{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 }}</ref> for research data analysis.<ref>{{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 }}</ref><ref name="Analytical Work Reproducibly Using R 2017">{{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 }}</ref><ref>{{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 }}</ref>


Bryan's teaching activities at UBC included development of the Master of Data Science Program<ref>{{cite news|url=https://www.ubyssey.ca/news/new-masters-of-data-science-coming-to-ubc/|author=Helen Zhou|title=New Master of Data Science coming to UBC| date=2016-02-29|publisher=The Ubyssey}}</ref> and new materials for the STAT 545 course.<ref>{{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}}</ref> 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.<ref name="Analytical Work Reproducibly Using R 2017"/> As of late 2016 Bryan is on leave from her UBC position and is working at [[RStudio]] with a team led by [[Hadley Wickham]].<ref name="highprofile" />
Bryan's teaching activities at UBC included development of the Master of Data Science Program<ref>{{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}}</ref> and new materials for the STAT 545 course.<ref>{{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}}</ref> 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.<ref name="Analytical Work Reproducibly Using R 2017"/> As of late 2016 Bryan is on leave from her UBC position and is working at [[RStudio]] with a team led by [[Hadley Wickham]].<ref name="highprofile" />


Bryan has had experience with [[S (programming language)|S]] and [[R (programming language)|R]] since 1996.<ref name="rprofile" /><ref name="happygit" /> She is known for her open source contributions in [[R (programming language)|R]].<ref>{{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|publisher=The Guardian|date=2016-02-12}}</ref> Influential contributions include the use of [[Lego]]<ref>{{Cite web|url=https://speakerdeck.com/jennybc/data-rectangling|title=Data Rectangling (Talk presented at PLOTCON 2016)|last=Bryan|first=Jenny|date=2016}}</ref> and the concept of data rectangling<ref>{{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}}</ref> for explaining programming concepts,<ref>{{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}}</ref><ref>{{Cite web|url=https://www.mango-solutions.com/blog/earl-boston-revisited|title=EARL Boston Revisited|date=5 Dec 2016|website=Mango Business Solutions|access-date=20 March 2018}}</ref> reproducible research,<ref>{{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 }}</ref> and advice on project and workflow organisation.<ref>{{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}}</ref><ref>{{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}}</ref><ref>{{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}}</ref>
Bryan has had experience with [[S (programming language)|S]] and [[R (programming language)|R]] since 1996.<ref name="rprofile" /><ref name="happygit" /> She is known for her open source contributions in [[R (programming language)|R]].<ref>{{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}}</ref> Influential contributions include the use of [[Lego]]<ref>{{Cite web|url=https://speakerdeck.com/jennybc/data-rectangling|title=Data Rectangling (Talk presented at PLOTCON 2016)|last=Bryan|first=Jenny|date=2016}}</ref> and the concept of data rectangling<ref>{{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}}</ref> for explaining programming concepts,<ref>{{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}}</ref><ref>{{Cite web|url=https://www.mango-solutions.com/blog/earl-boston-revisited|title=EARL Boston Revisited|date=5 Dec 2016|website=Mango Business Solutions|access-date=20 March 2018}}</ref> reproducible research,<ref>{{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 }}</ref> and advice on project and workflow organisation.<ref>{{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}}</ref><ref>{{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}}</ref><ref>{{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 }}</ref>


Bryan is well known for her work on efficient methods of working in spreadsheets, and the connection between R and spreadsheet software such as [[Microsoft Excel|Excel]] and Google Sheets.<ref name="hofmann" /> She is the primary developer of the R package googlesheets, that connects R to the Google Sheets service,<ref>{{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}}</ref> and googledrive, an R package for interfacing between R and [[Google Drive]].
Bryan is well known for her work on efficient methods of working in spreadsheets, and the connection between R and spreadsheet software such as [[Microsoft Excel|Excel]] and Google Sheets.<ref name="hofmann" /> She is the primary developer of the R package googlesheets, that connects R to the Google Sheets service,<ref>{{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}}</ref> 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].<ref>{{cite web|url=https://ropensci.org/about/|title=rOpenSci: Meet Our Team}}</ref><ref name="CV">{{cite web|title= Jenny Bryan's CV|url=http://www.math.ubc.ca/~jbryan/JennyCV.pdf |accessdate=4 February 2018|language=en}}</ref> 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]].<ref name="CV" /><ref name="statschat">{{cite web|title=StatsChat Jenny Bryan: "You need a huge tolerance for ambiguity" |author=Atakohu 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}}</ref> Previously, she worked as an Associate at the [[Boston Consulting Group]] in [[Boston|Boston, MA]].<ref name="homepage" />
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].<ref>{{cite web|url=https://ropensci.org/about/|title=rOpenSci: Meet Our Team}}</ref><ref name="CV">{{cite web|title= Jenny Bryan's CV|url=http://www.math.ubc.ca/~jbryan/JennyCV.pdf |accessdate=4 February 2018|language=en}}</ref> 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]].<ref name="CV" /><ref name="statschat">{{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}}</ref> Previously, she worked as an Associate at the [[Boston Consulting Group]] in [[Boston|Boston, MA]].<ref name="homepage" />


== Personal life ==
== Personal life ==
Line 73: Line 76:


==References==
==References==
{{reflist}}
{{Reflist}}


==External links==
==External links==
* [https://ropensci.org/blog/2017/12/08/rprofile-jenny-bryan/ “.rprofile: Jenny Bryan”] – ROpenSci Interview
* [https://ropensci.org/blog/2017/12/08/rprofile-jenny-bryan/ ".rprofile: Jenny Bryan"] – ROpenSci Interview
* [http://happygitwithr.com/contrib.html “Happy Git and GitHub for the user”] – Happy Git and GitHub for the useR Contributors Page
* [http://happygitwithr.com/contrib.html "Happy Git and GitHub for the user"] – Happy Git and GitHub for the useR Contributors Page
* [https://github.com/jennybc “Jennifer (Jenny) Bryan”] – Github Profile
* [https://github.com/jennybc "Jennifer (Jenny) Bryan"] – GitHub Profile
* [https://www.statschat.org.nz/2017/12/15/jenny-bryan-you-need-a-huge-tolerance-for-ambiguity/ “Jenny Bryan: “You need a huge tolerance for ambiguity””] - StatsChat Interview
* [https://www.statschat.org.nz/2017/12/15/jenny-bryan-you-need-a-huge-tolerance-for-ambiguity/ "Jenny Bryan: 'You need a huge tolerance for ambiguity'"] - StatsChat Interview


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{{Authority control|ORCID=0000-0002-6983-2759 | VIAF=11152023710203311937}}


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Latest revision as of 06:45, 17 May 2024

Jennifer "Jenny" Bryan
Occupations
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, Canada and is known for creating open source tools which connect R to Google Sheets and Google Drive.[1][2][3][4]

Education[edit]

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[edit]

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[edit]

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

References[edit]

  1. ^ a b c O'Briant, Kelly (8 December 2017). ".rprofile: Jenny Bryan". rOpenSci. doi:10.59350/p8h48-s7k80. Retrieved 4 February 2018.
  2. ^ "GitHub profile of Jennifer (Jenny) Bryan". GitHub. Retrieved 4 February 2018.
  3. ^ a b Machlis, Sharon (2016-11-30). "What's up with RStudio's 2 high-profile hires?". Computer World. Archived from the original on 2019-04-01. Retrieved 19 February 2018.
  4. ^ a b 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. S2CID 126170766.
  5. ^ Bryan, Jenny. Happy Git and GitHub for the useR. Retrieved 4 February 2018.
  6. ^ a b "Jennifer Bryan homepage". Retrieved 4 February 2018.
  7. ^ a b Happy Git and GitHub for the useR. Retrieved 4 February 2018.
  8. ^ 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.
  9. ^ "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.
  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. PMC 3580438. 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. S2CID 17437463.
  12. ^ 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.
  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. S2CID 125821034.
  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. S2CID 126280044.
  15. ^ a b 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. S2CID 125412832.
  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. arXiv:1710.08728. Bibcode:2017arXiv171008728M. doi:10.1080/10618600.2017.1386568. S2CID 88522819.
  17. ^ Zhou, Helen (2016-02-29). "New Master of Data Science coming to UBC". The Ubyssey.
  18. ^ Bryan, Jenny (2018). "Data wrangling, exploration, and analysis with R". Archived from the original on 24 February 2018. Retrieved 20 March 2018.
  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 (2016-12-20). "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.
  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. S2CID 61249336.
  28. ^ 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.
  29. ^ "rOpenSci: Meet Our Team".
  30. ^ a b "Jenny Bryan's CV" (PDF). Retrieved 4 February 2018.
  31. ^ a b Middleton, Atakohu (2017-12-15). "StatsChat Jenny Bryan: "You need a huge tolerance for ambiguity"". StatsChat. Retrieved 4 February 2018.
  32. ^ Robinson, Emily. "Does a tweet count as a citation? His name is Toby". Twitter. Retrieved 15 October 2018.

External links[edit]

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