Jeffrey Heer

Jeffrey Michael Heer
Born (1979-06-15) 15 June 1979
Fields Computer Science
Institutions University of Washington,
Stanford University
Alma mater University of California, Berkeley
Doctoral advisor Maneesh Agrawala
Doctoral students Mike Bostock, Jason Chuang, Sean Kandel, Diana MacLean
Known for Data visualization
Notable awards TR35, Sloan Fellowship
Website
homes.cs.washington.edu/~jheer

Jeffrey Michael Heer (born 15 June 1979) is an American computer scientist best known for his work on information visualization and interactive data analysis. He is an associate 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

As a graduate student at the University of California, Berkeley, he developed the Prefuse and Flare[3] visualization toolkits.

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.[4] 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 and Protovis systems. Along with Joe Hellerstein and Sean Kandel, Heer has also developed interactive tools for data transformation (including Data Wrangler[5]), leading to the founding of Trifacta.

Awards and recognition

Heer's research has been recognized by a Gordon and Betty Moore Foundation Data-Driven Discovery Investigator Award,[6] an Alfred P. Sloan Fellowship,[7] and MIT Technology Review's TR35 list.[8] Heer and his students have won best paper awards at human-computer interaction[9][10] and visualization[11] conferences. His work has also appeared in the popular press.[12][13][14][15][16][17]

References

  1. ↑ http://www.cs.washington.edu/people/faculty/
  2. ↑ http://idl.cs.washington.edu/
  3. ↑ http://flare.prefuse.org/
  4. ↑ http://www.trifacta.com/people
  5. ↑ 10.1145/1978942.1979444
  6. ↑ https://www.moore.org/programs/science/data-driven-discovery/investigators
  7. ↑ http://www.sloan.org/fileadmin/media/files/srf/2012_srf_nytimes_ad.pdf
  8. ↑ http://www2.technologyreview.com/tr35/profile.aspx?TRID=788
  9. ↑ http://chi2013.acm.org/program/best-of-chi/
  10. ↑ http://www.acm.org/uist/uist2011/#BestPaper
  11. ↑ http://www.eurovis2013.de/
  12. ↑ http://www.nytimes.com/2014/08/18/technology/for-big-data-scientists-hurdle-to-insights-is-janitor-work.html
  13. ↑ http://gigaom.com/2012/10/04/how-trifacta-wants-to-teach-humans-and-data-to-work-together/
  14. ↑ http://seattletimes.com/html/localnews/2018546054_computerscience28m.html
  15. ↑ http://www.geekwire.com/2012/love-marriage-university-washington-bolstered-machine-learning-big-data-staff/
  16. ↑ http://www.economist.com/node/15557455
  17. ↑ http://www.technologyreview.com/news/414119/simpler-data-visualization/


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