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From Wikipedia, the free encyclopedia
John McKinley Chambers is the creator of the S programming language, and core member of the R programming language project. He was awarded the 1998 ACM Software System Award for developing S.[1]
John Chambers | |
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Born | John McKinley Chambers |
Alma mater | University of Toronto (BSc) Harvard University (MA, PhD) |
Known for | R programming language |
Awards |
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Scientific career | |
Fields | Statistical computing |
Institutions |
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Website | statweb |
Chambers received a Bachelor of Science from the University of Toronto in 1963. He received a Master of Arts in 1965 and a PhD degree in 1966, both in statistics, from Harvard University.[1][2][3]
Chambers started at Bell Laboratories in 1966 as a member of its technical staff.[1][3] From 1981 to 1983, he was the head of its Advanced Software Department and from 1983 to 1989 he was the head of its Statistics and Data Analysis Research Department.[1][3] In 1989, he moved back to full-time research and in 1995, he became a distinguished member of the technical staff.[1][3] In 1997, he was made the first Fellow of Bell Labs and was cited for "pioneering contributions to the field of statistical computing".[1] He remained a distinguished member of the technical staff and a Fellow until his retirement from Bell Labs in 2005.[3]
After retiring from Bell Labs, Chambers became a visiting professor at the University of Auckland, University of California, Los Angeles and Stanford University.[3][4] Since 2008, he has been active at Stanford, currently serving as Senior Advisor of its data science program and an adjunct professor in Stanford's Department of Statistics.[3]
Chambers is a Fellow of the American Statistical Association, the American Association for the Advancement of Science and the Institute of Mathematical Statistics.[3][2]
Chambers has received the following awards:
Following his 1998 ACM Software System Award, Chambers donated his prize money (US$10,000) to the American Statistical Association to endow an award for novel statistical software, the John M. Chambers Statistical Software Award.[5]
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