Robert Clifford Gentleman | |
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Born | 1959 (age 57–58) |
Institutions |
Genentech University of Washington Harvard University The University of Auckland |
Alma mater |
University of Washington University of British Columbia |
Thesis | Exploratory methods for censored data (1988) |
Doctoral advisor | John James Crowley |
Doctoral students | Beiying Ding Denise Scholtens Alain C. Vandal |
Known for | R (programming language) |
Notable awards | Benjamin Franklin Award (Bioinformatics) |
Robert Clifford Gentleman (born 1959) is a Canadian statistician and bioinformatician currently vice president of computational biology at 23andMe. He is recognized, along with Ross Ihaka, as one of the originators of the R programming language and the Bioconductor project.
Gentleman was awarded a Bachelor of Science degree in mathematics from the University of British Columbia. He was awarded a Ph.D. degree in Statistics from University of Washington in 1988; his thesis title was Exploratory methods for censored data.
Gentleman worked as a statistics professor at The University of Auckland in the mid 1990s, where he developed the R programming language alongside Ross Ihaka. In 2001, he started work on the Bioconductor project to promote the development of open-source tools for bioinformatics and computational biology. In 2009, Gentleman joined the Genentech biotechnology corporation, where he worked as a senior director in bioinformatics and computational biology. Gentleman joined personal genomics and biotechnology company 23andMe as vice president in April 2015, with the goal of bringing expertise on bioinformatics and computational drug discovery to the company. Gentleman has also served on the board of the statistical software company Revolution Analytics (formerly known as REvolution Computing).
Gentleman won the Benjamin Franklin Award in 2008, recognising his work on the R programming language, the Bioconductor project and his commitment to data and methods sharing. He was made a Fellow of the International Society for Computational Biology in 2014 for his contribution to computational biology and bioinformatics.