Andreas Buja Explained

Andreas Buja
Birth Place:Switzerland
Alma Mater:ETHZ
Thesis Year:1980
Doctoral Students:Dianne Cook

Andreas Buja is a Swiss statistician and professor of statistics. He is the Liem Sioe Liong/First Pacific Company professor in the Statistics department of The Wharton School at the University of Pennsylvania in Philadelphia, United States.[1] Buja joined Center for Computational Mathematics (CCM) as a Senior Research Scientist in January 2020.[2]

Life and education

Buja was born in Switzerland. He graduated from the Swiss Federal Institute of Technology (ETHZ, Zurich) in 1980 with a PhD in Mathematics and Statistics, where his dissertation was supervised jointly by Frank Hampel, Peter J. Huber, and Hans Föllmer.[3]

Career and research

Buja began working as research associate at ETH Zurich and Children's Hospital, until 1982. In 1982, Buja held his first academic position as an assistant professor at University of Washington, where he later became an associate professor in 1987. He also held positions in industry as a member of technical staff at Bell Communications Research and AT&T Bell Laboratories between 1994–1996 and 1996–Jan 2002, respectively. Then, he returned to academia as a professor at The Wharton School, University of Pennsylvania, where he was designated as the Liem Sioe Liong/First Pacific Company Professor in July 2003.[4]

Buja is a co-author of a data visualization system called XGobi, a predecessor of GGobi, for which Google provides more than 10,000 entries.[5] His research interests include data visualization, data mining, multivariate statistics, and nonparametric statistics. Results of his research have been discussed in multiple articles like : Science Daily,[6] Slate,[7] knowledge@wharton.[8]

Notable papers

Buja has authored several publications. Of which the following papers have more than 500 citations:[9]

Awards

See also

Notes and References

  1. Web site: Andreas Buja Upenn Profile. 2020-04-01. 2020-06-09. https://web.archive.org/web/20200609203618/https://statistics.wharton.upenn.edu/profile/buja/#overview. live.
  2. Web site: Andreas Buja CCM Profile. 2020-04-01. 2020-10-25. https://web.archive.org/web/20201025003033/https://www.simonsfoundation.org/team/andreas-buja/. live.
  3. Web site: Andreas Buja Upenn Profile. 2020-04-01. 2020-06-09. https://web.archive.org/web/20200609203618/https://statistics.wharton.upenn.edu/profile/buja/#overview. live.
  4. News: Liem Sioe Liong/ First Pacific Co. Professor of Statistics:Dr. Buja. University of Pennsylvania Almanac. 2020-05-11. 2024-04-20. https://web.archive.org/web/20240420021127/https://almanac.upenn.edu/archive/v50/n32/ab.html. live.
  5. Buja . Andreas . Cook . Dianne . Swayne . Deborah F. . XGobi: Interactive Dynamic Data Visualization in the X Window System . Journal of Computational and Graphical Statistics . March 1998 . 7 . 1 . 113–130.
  6. News: Autism genetics study calls attention to motor skills, general cognitive impairment . 7 February 2018 . Cold Spring Harbor Laboratory . 2 April 2019 . https://web.archive.org/web/20190402123409/https://www.sciencedaily.com/releases/2018/02/180207140424.htm . live .
  7. News: Tam . Stephanie . Pop Goes the Filter Bubble? . 4 April 2018 . Slate . 5 April 2018 . https://web.archive.org/web/20180405051204/https://slate.com/technology/2018/04/personalization-algorithms-could-actually-help-pop-filter-bubbles.html . live .
  8. News: Different Worlds: Do Recommender Systems Fragment Consumers' Interests? . 31 August 2011 . Knowledge@wharton . 21 June 2016 . https://web.archive.org/web/20160621064753/http://knowledge.wharton.upenn.edu/article/different-worlds-do-recommender-systems-fragment-consumers-interests/ . live .
  9. Web site: Andreas Buja Google Scholar profile. 2020-04-01. 2021-07-20. https://web.archive.org/web/20210720195250/https://scholar.google.com/citations?user=P6VBU8cAAAAJ&hl=en. live.
  10. Web site: Andreas Buja Awards and Honors. 2020-04-01. 2020-06-09. https://web.archive.org/web/20200609203618/https://statistics.wharton.upenn.edu/profile/buja/#awards. live.