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{{short description|American computer scientist|bot=PearBOT 5}}
{{Use mdy dates|date=May 2021}}
{{Infobox scientist
{{Infobox scientist
| name = Jeffrey Michael Heer
| name = Jeffrey Michael Heer
| image = Jeffrey Heer at UW.jpg
| image =
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| caption =
| caption = Heer in 2016
| birth_date = {{Birth date|1979|06|15}}
| birth_date = {{Birth date and age|1979|06|15}}
| birth_place =
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| death_date =
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| death_place =
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| citizenship =
| residence =
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| nationality =
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| citizenship =
| alma_mater = [[University of California, Berkeley]] ([[Bachelor of Science|BS]], [[Master of Science|MS]], [[Doctor of Philosophy|PhD]])
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| nationality =
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| doctoral_advisor = [[Maneesh Agrawala]]
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| alma_mater = [[University of California, Berkeley]]
| doctoral_students = {{plainlist|
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| doctoral_advisor = [[Maneesh Agrawala]]
| doctoral_students = [[Mike Bostock]], Jason Chuang, Sean Kandel, Diana MacLean
* [[Mike Bostock]]
* [[Sean Kandel]]
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| known_for = Data visualization
}}
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| website = {{URL|homes.cs.washington.edu/~jheer}}
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| known_for = [[Data visualization]]
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| footnotes =
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| website = {{URL|homes.cs.washington.edu/~jheer}}
| ethnicity =
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| footnotes =
| field = [[Computer Science]]
| field = [[Computer science]]
| work_institution = [[University of Washington]],<br>[[Stanford University]]
| work_institution = [[University of Washington]],<br/>[[Stanford University]]
| author_abbreviation_bot =
| author_abbreviation_bot =
| author_abbreviation_zoo =
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| prizes = [[TR35]], [[Sloan Fellowship]]
| prizes = [[TR35]], [[Sloan Fellowship]], [[Grace Murray Hopper Award|ACM Grace Murray Hopper Award]]
}}
| religion =

}} '''Jeffrey Michael Heer''' (born {{dob|1979|06|15|df=yes}}) is an [[United States|American]] [[computer scientist]] best known for his work on [[information visualization]] and interactive [[data analysis]]. He is an associate professor of Computer Science & Engineering<ref>http://www.cs.washington.edu/people/faculty/</ref> at the [[University of Washington]], where he directs the UW Interactive Data Lab<ref>http://idl.cs.washington.edu/</ref> and co-founded [https://en.wikipedia.org/w/index.php?title=Trifacta&action=edit&redlink=1 Trifacta] with [[Joseph M. Hellerstein|Joe Hellerstein]] and Sean Kandel in 2012.
'''Jeffrey Michael Heer''' (born June 15, 1979) is an American [[computer scientist]] best known for his work on [[information visualization]] and interactive [[data analysis]]. He is a professor of computer science & engineering<ref>{{cite web|url=http://www.cs.washington.edu/people/faculty/|title=Faculty - Computer Science & Engineering}}</ref> at the [[University of Washington]], where he directs the UW Interactive Data Lab.<ref>{{cite web|url=http://idl.cs.washington.edu/|title=UW Interactive Data Lab}}</ref> He co-founded [[Trifacta]] with [[Joseph M. Hellerstein|Joe Hellerstein]] and [[Sean Kandel]] in 2012.


== Education ==
== Education ==
As a graduate student at the [[University of California, Berkeley]], he developed the [[Prefuse]]<ref>http://prefuse.org/</ref> and Flare<ref>http://flare.prefuse.org/</ref> visualization toolkits.
Heer received a [[Bachelor of Science|B.S.]], [[Master of Science|M.S.]] and [[Doctor of Philosophy|PhD]] from the [[University of California, Berkeley]].<ref name="bio">{{Cite web |url=https://homes.cs.washington.edu/~jheer/bio/ |title=Jeffrey Heer – Bio |website=washington.edu |access-date=2021-05-27}}</ref> As a graduate student at UC Berkeley, he developed the [[Prefuse]] and Flare<ref>{{cite web|url=http://flare.prefuse.org/|title=Data Visualization for the Web|publisher=Flare }}</ref> visualization toolkits.


== Research and Career ==
== Research and career ==
Before joining the University of Washington, Heer was an assistant professor of Computer Science at [[Stanford University]], from 2009 to 2013. He is also co-founder and Chief Experience Officer of [[Trifacta]]<ref>http://www.trifacta.com/people</ref>. Heer's research focuses on new systems and techniques for [[data visualization]]. As a professor at Stanford, he worked with then-Ph.D. student [[Mike Bostock]] on the [[D3.js]]<ref>http://d3js.org</ref> and [[Protovis]]<ref>https://mbostock.github.io/protovis/</ref> systems. Along with [[Joe Hellerstein]] and Sean Kandel, Heer has also developed interactive tools for data transformation (including Data Wrangler<ref>10.1145/1978942.1979444</ref>), leading to the founding of [[Trifacta]].
Heer was an assistant professor of computer science at [[Stanford University]], from 2009 to 2013.<ref name="bio"/> He is also co-founder and chief experience officer of Trifacta.<ref>{{cite web|url=http://www.trifacta.com/people|title=Trifacta|archive-url=https://web.archive.org/web/20131207233319/http://www.trifacta.com/people|archive-date=December 7, 2013|url-status=dead}}</ref> Heer's research focuses on new systems and techniques for [[data visualization]]. As a member of the Stanford University faculty, he worked with [[Mike Bostock]] on the Protovis and [[D3.js]] systems.


Heer then moved to the [[University of Washington]] where he worked with students and collaborators to develop the [[Vega and Vega-Lite visualisation grammars]]. Along with [[Joe Hellerstein]] and [[Sean Kandel]], Heer has also developed interactive tools for data transformation (including Data Wrangler<ref>{{cite conference|conference=Proceedings of the SIGCHI Conference on Human Factors in Computing Systems|author1=Sean Kandel|author2=Andreas Paepcke|author3=Joseph Hellerstein|author4=Jeffrey Heer|doi=10.1145/1978942.1979444|title=Wrangler: interactive visual specification of data transformation scripts}}</ref>), leading to the founding of Trifacta. Other research contributions include work on the graphical perception of visualizations, social data analysis, text visualization, and interactive language translation tools.
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== Awards and Recognition ==

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Heer's research has been recognized by a [[Gordon and Betty Moore Foundation]] Data-Driven Discovery Investigator Award<ref>https://www.moore.org/programs/science/data-driven-discovery/investigators</ref>, an Alfred P. [[Sloan Fellowship]]<ref>http://www.sloan.org/fileadmin/media/files/srf/2012_srf_nytimes_ad.pdf</ref>, and MIT [[Technology Review]]'s [[TR35]] list<ref>http://www2.technologyreview.com/tr35/profile.aspx?TRID=788</ref>. Heer and his students have won best paper awards at human-computer interaction<ref>http://chi2013.acm.org/program/best-of-chi/</ref><ref>http://www.acm.org/uist/uist2011/#BestPaper</ref> and visualization<ref>http://www.eurovis2013.de/</ref> conferences. His work has also appeared in the popular press<ref>http://www.nytimes.com/2014/08/18/technology/for-big-data-scientists-hurdle-to-insights-is-janitor-work.html</ref><ref>http://gigaom.com/2012/10/04/how-trifacta-wants-to-teach-humans-and-data-to-work-together/</ref><ref>http://seattletimes.com/html/localnews/2018546054_computerscience28m.html</ref><ref>http://www.geekwire.com/2012/love-marriage-university-washington-bolstered-machine-learning-big-data-staff/</ref><ref>http://www.economist.com/node/15557455</ref><ref>http://www.technologyreview.com/news/414119/simpler-data-visualization/</ref>.
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== Awards and recognition ==
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Heer's research has been recognized by an ACM [[Grace Murray Hopper Award]],<ref>{{cite web|url=http://awards.acm.org/award_winners/heer_1520709|title=ACM Grace Murray Hopper Award 2016}}</ref> a [[Gordon and Betty Moore Foundation]] Data-Driven Discovery Investigator Award,<ref>{{cite web|url=https://www.moore.org/programs/science/data-driven-discovery/investigators|title=Home - Gordon and Betty Moore Foundation|access-date=2016-04-12|archive-url=https://web.archive.org/web/20160315232702/https://www.moore.org/programs/science/data-driven-discovery/investigators|archive-date=2016-03-15|url-status=dead}}</ref> an Alfred P. [[Sloan Fellowship]],<ref>{{cite web|url=http://www.sloan.org/fileadmin/media/files/srf/2012_srf_nytimes_ad.pdf|title=Alfred P. Sloan Research Fellowships 2012|publisher=Alfred P. Sloan Foundation|url-status=dead|archive-url=https://web.archive.org/web/20160509113029/http://www.sloan.org/fileadmin/media/files/srf/2012_srf_nytimes_ad.pdf|archive-date=2016-05-09}}</ref> and MIT [[Technology Review]]'s [[TR35]] list.<ref>{{cite web|url=http://www2.technologyreview.com/tr35/profile.aspx?TRID=788|title=Innovator Under 35: Jeffrey Heer, 30|first=MIT Technology|last=Review}}</ref> Heer and his students have won best paper awards at human-computer interaction<ref>{{cite web|url=http://chi2013.acm.org/program/best-of-chi/|title=Best of CHI - CHI 2013}}</ref><ref>{{cite web|url=http://www.acm.org/uist/uist2011/#BestPaper|title=UIST 2011 - 24th Symposium on User Interface Software and Technology (October 16-19, 2011 Santa Barbara, California)}}</ref> and visualization<ref>{{cite web|url=http://www.eurovis2013.de/|title=EuroVis 2013 - The Eurographics Conference on Visualization}}</ref> conferences. His work has also appeared in the popular press.<ref>{{cite web|url=https://www.nytimes.com/2014/08/18/technology/for-big-data-scientists-hurdle-to-insights-is-janitor-work.html|title=For Big-Data Scientists, 'Janitor Work' Is Key Hurdle to Insights|date=18 August 2014|work=The New York Times}}</ref><ref>{{cite web|url=http://gigaom.com/2012/10/04/how-trifacta-wants-to-teach-humans-and-data-to-work-together/|title=Gigaom - Why Trifacta is teaching humans and data to work together|first=Derrick|last=Harris|date=October 4, 2012}}</ref><ref>{{cite web|url=http://seattletimes.com/html/localnews/2018546054_computerscience28m.html|title=UW recruits superstars of computer-science world|author=Katherine Long|work=Seattle Times|date=June 27, 2012|archive-url=https://web.archive.org/web/20130723065018/http://seattletimes.com/html/localnews/2018546054_computerscience28m.html|archive-date= July 23, 2013 |url-status=dead}}</ref><ref>{{cite web|url=http://www.geekwire.com/2012/love-marriage-university-washington-bolstered-machine-learning-big-data-staff/|title=Love and marriage: How the UW is making bets on the brains of 'big data' and 'machine learning'|date=28 June 2012}}</ref><ref>{{cite news|url=http://www.economist.com/node/15557455|title=Show me|newspaper=The Economist|date=February 27, 2010}}</ref><ref>{{cite web|url=http://www.technologyreview.com/news/414119/simpler-data-visualization/|title=Simpler Data Visualization|first=Kate|last=Greene}}</ref>


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

{{Visualization}}
{{Hopper winners}}
{{Authority control}}


{{DEFAULTSORT:Heer, Jeffrey}}
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[[Category:1979 births]]
[[Category:Living people]]
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[[Category:University of California, Berkeley alumni]]
[[Category:Stanford University faculty]]
[[Category:University of Washington Paul G. Allen School of Computer Science & Engineering faculty]]
[[Category:American computer scientists]]
[[Category:Sloan Research Fellows]]
[[Category:D3.js people]]

Latest revision as of 01:24, 28 December 2023

Jeffrey Michael Heer
Heer in 2016
Born (1979-06-15) June 15, 1979 (age 44)
Alma materUniversity of California, Berkeley (BS, MS, PhD)
Known forData visualization
AwardsTR35, Sloan Fellowship, ACM Grace Murray Hopper Award
Scientific career
FieldsComputer science
InstitutionsUniversity of Washington,
Stanford University
Doctoral advisorManeesh Agrawala
Doctoral students
Websitehomes.cs.washington.edu/~jheer

Jeffrey Michael Heer (born June 15, 1979) is an American computer scientist best known for his work on information visualization and interactive data analysis. He is a professor of computer science & engineering[1] at the University of Washington, where he directs the UW Interactive Data Lab.[2] He co-founded Trifacta with Joe Hellerstein and Sean Kandel in 2012.

Education[edit]

Heer received a B.S., M.S. and PhD from the University of California, Berkeley.[3] As a graduate student at UC Berkeley, he developed the Prefuse and Flare[4] visualization toolkits.

Research and career[edit]

Heer was an assistant professor of computer science at Stanford University, from 2009 to 2013.[3] He is also co-founder and chief experience officer of Trifacta.[5] Heer's research focuses on new systems and techniques for data visualization. As a member of the Stanford University faculty, he worked with Mike Bostock on the Protovis and D3.js systems.

Heer then moved to the University of Washington where he worked with students and collaborators to develop the Vega and Vega-Lite visualisation grammars. Along with Joe Hellerstein and Sean Kandel, Heer has also developed interactive tools for data transformation (including Data Wrangler[6]), leading to the founding of Trifacta. Other research contributions include work on the graphical perception of visualizations, social data analysis, text visualization, and interactive language translation tools.

Awards and recognition[edit]

Heer's research has been recognized by an ACM Grace Murray Hopper Award,[7] a Gordon and Betty Moore Foundation Data-Driven Discovery Investigator Award,[8] an Alfred P. Sloan Fellowship,[9] and MIT Technology Review's TR35 list.[10] Heer and his students have won best paper awards at human-computer interaction[11][12] and visualization[13] conferences. His work has also appeared in the popular press.[14][15][16][17][18][19]

References[edit]

  1. ^ "Faculty - Computer Science & Engineering".
  2. ^ "UW Interactive Data Lab".
  3. ^ a b "Jeffrey Heer – Bio". washington.edu. Retrieved May 27, 2021.
  4. ^ "Data Visualization for the Web". Flare.
  5. ^ "Trifacta". Archived from the original on December 7, 2013.
  6. ^ Sean Kandel; Andreas Paepcke; Joseph Hellerstein; Jeffrey Heer. Wrangler: interactive visual specification of data transformation scripts. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. doi:10.1145/1978942.1979444.
  7. ^ "ACM Grace Murray Hopper Award 2016".
  8. ^ "Home - Gordon and Betty Moore Foundation". Archived from the original on March 15, 2016. Retrieved April 12, 2016.
  9. ^ "Alfred P. Sloan Research Fellowships 2012" (PDF). Alfred P. Sloan Foundation. Archived from the original (PDF) on May 9, 2016.
  10. ^ Review, MIT Technology. "Innovator Under 35: Jeffrey Heer, 30".
  11. ^ "Best of CHI - CHI 2013".
  12. ^ "UIST 2011 - 24th Symposium on User Interface Software and Technology (October 16-19, 2011 Santa Barbara, California)".
  13. ^ "EuroVis 2013 - The Eurographics Conference on Visualization".
  14. ^ "For Big-Data Scientists, 'Janitor Work' Is Key Hurdle to Insights". The New York Times. August 18, 2014.
  15. ^ Harris, Derrick (October 4, 2012). "Gigaom - Why Trifacta is teaching humans and data to work together".
  16. ^ Katherine Long (June 27, 2012). "UW recruits superstars of computer-science world". Seattle Times. Archived from the original on July 23, 2013.
  17. ^ "Love and marriage: How the UW is making bets on the brains of 'big data' and 'machine learning'". June 28, 2012.
  18. ^ "Show me". The Economist. February 27, 2010.
  19. ^ Greene, Kate. "Simpler Data Visualization".
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