Biography:Diane Lambert
Diane Marie Lambert is an American statistician known for her work on zero-inflated models, a method for extending Poisson regression to applications such as the statistics of manufacturing defects in which one can expect to observe a large number of zeros.[1] A former Bell Labs Fellow, she is a research scientist for Google, where she lists her current research areas as "algorithms and theory, data mining and modeling, and economics and electronic commerce".[2]
Education and career
Lambert earned her Ph.D. in 1978 from the University of Rochester. Her dissertation, supervised by W. Jackson Hall, was P-Values: Asymptotics and Robustness.[3] In the early part of her career, she worked as a faculty member at Carnegie Mellon University. As an assistant professor there, she did pioneering work on the confidentiality of statistical information.[4] She earned tenure at Carnegie Mellon, but moved to Bell Labs in 1986. At Bell Labs, she became head of statistics, and a Bell Labs Fellow. She moved again to Google in 2005.[5][6]
Recognition
Lambert became a Fellow of the American Statistical Association in 1991.[7] She is also a Fellow of the Institute of Mathematical Statistics,[8] was executive secretary of the institute from 1990 to 1993,[9] and was one of the institute's Medallion Lecturers in 1995.[10]
References
- ↑ Lewis-Beck, Michael; Bryman, Alan E.; Liao, Tim Futing (2003), The SAGE Encyclopedia of Social Science Research Methods, Sage, p. 830, ISBN 9781452261454, https://books.google.com/books?id=iu1yAwAAQBAJ&pg=PA830
- ↑ "Diane Lambert", Research at Google, https://research.google.com/pubs/author16666.html, retrieved 2017-11-25
- ↑ Diane Lambert at the Mathematics Genealogy Project
- ↑ Behseta, Sam; Slavković, Aleksandra (November 2013), "Interview with Steve Fienberg", Chance (American Statistical Association) 26 (4): 18–29, doi:10.1080/09332480.2013.868752, http://chance.amstat.org/2013/11/interview/, retrieved 2017-11-25
- ↑ "Diane Lambert, Research Scientist, Google", Speaker biography for Computefest 2018 (Harvard University), https://computefest.seas.harvard.edu/people/diane-lambert, retrieved 2017-11-25
- ↑ National Research Council Committee on the Analysis of Massive Data (2013), Frontiers in Massive Data Analysis, National Academies Press, p. 175, ISBN 9780309287814, https://books.google.com/books?id=AFyfAwAAQBAJ&pg=PA175
- ↑ ASA Fellows list, American Statistical Association, http://www.amstat.org/ASA/Your-Career/Awards/ASA-Fellows-list.aspx, retrieved 2017-11-25
- ↑ Honored Fellows, Institute of Mathematical Statistics, http://www.imstat.org/awards/honored_fellows.htm, retrieved 2017-11-25
- ↑ Past Executive Committee Members, Institute of Mathematical Statistics, http://imstat.org/officials/past_officials.html, retrieved 2017-11-25
- ↑ Medallion Lectures, Institute of Mathematical Statistics, http://www.imstat.org/awards/lectures_winners.htm, retrieved 2017-11-25
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