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Daniela Witten

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Daniela Witten
Witten at the SiliconAngle digital community TheCube in 2018
Alma materStanford University (BS, PhD)
Known forAn Introduction to Statistical Learning[3]
Awards
Scientific career
Fields
InstitutionsUniversity of Washington
ThesisA penalized matrix decomposition, and its applications (2010)
Doctoral advisorRobert Tibshirani[2]
Websitefaculty.washington.edu/dwitten

Daniela M. Witten is an American biostatistician. She is a professor and the Dorothy Gilford Endowed Chair of Mathematical Statistics at the University of Washington.[4][5] Her research investigates the use of machine learning to understand high-dimensional data.[1]

Early life and education

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Witten studied mathematics and biology at Stanford University, graduating in 2005. She remained there for her postgraduate research, earning a master's degree in statistics in 2006.[6][7] She was awarded the American Statistical Association Gertrude Mary Cox Scholarship in 2008.[8] Her doctoral thesis, A penalized matrix decomposition, and its applications was supervised by Robert Tibshirani.[2][9][10] She worked with Trevor Hastie on canonical correlation analysis.[11] She co-authored An Introduction to Statistical Learning in 2013.[3]

Research and career

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Witten applies statistical machine learning to personalised medical treatments and decoding the genome.[12] She uses machine learning to analyse data sets in neuroscience and genomics.[13] She is worried about increasing amounts of data in biomedical sciences.[14]

She was appointed to the University of Washington as Genentech Endowed Professor in 2010.[15] Witten contributed to the 2012 report Evolution of Translational Omics, which provided best practise in translating omics research into a clinic.[16][17]

She is an associate editor for the Journal of the American Statistical Association.[18]

Recognition

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She was elected as a Fellow of the American Statistical Association in 2020.[19] She was named to the 2022 class of Fellows of the Institute of Mathematical Statistics, for "substantial contributions to the field of statistical machine learning, with applications to biology; and for communicating the fundamental ideas in the field to a broad audience".[20]

She was awarded an NIH Director's Early Independence Award in 2011.[21] She was awarded the American Statistical Association David P. Byar Young Investigator Award for her work Penalized Classification Using Fisher’s Linear Discriminant in 2011.[22] Her book An Introduction to Statistical Learning won a Technometrics Ziegel Award in 2014.[23] She won an Elle magazine Genius Award in 2012.[24] In 2013 she won an Alfred P. Sloan Foundation Fellowship.[25] She was named in the Forbes 30 Under 30 Science & Healthcare category in 2012, 2013 and 2014.[26][27][28] In 2015 Witten was awarded the Texas A&M University Raymond J. Carroll Young Investigator Award.[29] In 2018, she was named a Simons Foundation Investigator,[30] and in 2022, she received the COPSS Presidents' Award.

Personal life

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Daniela is the younger sister of Ilana B. Witten, the older sister of Rafael Witten, and the daughter of the physicists Chiara Nappi and Edward Witten.[31] She is married to software engineer Ari Steinberg.[32][33]

References

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  1. ^ a b Daniela Witten publications indexed by Google Scholar Edit this at Wikidata
  2. ^ a b Daniela Witten at the Mathematics Genealogy Project
  3. ^ a b James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert (2013). An Introduction to Statistical Learning: with Applications in R (1st ed.). Springer. ISBN 978-1-4614-7137-0.
  4. ^ "Daniela Witten". faculty.washington.edu.
  5. ^ "UW Biostatistics People Page". UW Biostatistics People Page.
  6. ^ UWTV (September 12, 2013), UW Four Peaks - Daniela Witten, retrieved August 28, 2018
  7. ^ "Interview With Daniela Witten · Simply Statistics". simplystatistics.org. Archived from the original on January 29, 2013. Retrieved August 28, 2018.
  8. ^ "Gertrude M. Cox Scholarship". amstat.org. American Statistical Association. Archived from the original on August 29, 2018. Retrieved August 28, 2018.
  9. ^ Witten, Daniela (2010). A penalized matrix decomposition, and its applications (PDF). stanford.edu (PhD thesis). Stanford University. OCLC 667187274. Retrieved August 28, 2018.
  10. ^ "Daniela Witten | Department of Statistics". statistics.stanford.edu. Retrieved August 28, 2018.
  11. ^ Witten, D. M.; Tibshirani, R.; Hastie, T. (April 17, 2009). "A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis". Biostatistics. 10 (3): 515–534. doi:10.1093/biostatistics/kxp008. ISSN 1465-4644. PMC 2697346. PMID 19377034.
  12. ^ "Daniela Witten". PopTech. Archived from the original on March 8, 2022. Retrieved August 28, 2018.
  13. ^ Aguiar, Izzy (February 1, 2018). "Getting to Know the Women in Data Science: Daniela Witten". medium.com. Retrieved August 28, 2018.
  14. ^ Stanford University School of Engineering (April 3, 2018), Daniela Witten: The Statistical Challenges of Increased Data, retrieved August 28, 2018
  15. ^ "Daniela Witten | Department of Biostatistics". biostat.washington.edu. Retrieved August 28, 2018.
  16. ^ IOM (Institute of Medicine) (2012). Micheel, Christine M.; Nass, Sharly J.; Omenn, Gilbert S. (eds.). Evolution of Translational Omics: Lessons Learned and the Path Forward. Washington, DC: The National Academies Press. ISBN 978-0-309-22418-5.
  17. ^ Witten, D. M.; Tibshirani, R. (January 1, 2013). "Scientific research in the age of omics: the good, the bad, and the sloppy". Journal of the American Medical Informatics Association. 20 (1): 125–127. doi:10.1136/amiajnl-2012-000972. ISSN 1067-5027. PMC 3555320. PMID 23037799.
  18. ^ "Editorial Board EOV". Journal of the American Statistical Association. 109 (508): ebi. October 2, 2014. doi:10.1080/01621459.2014.980188. ISSN 0162-1459. S2CID 219594544.
  19. ^ "ASA Fellows list". American Statistical Association. Retrieved June 1, 2020.
  20. ^ "2022 IMS Fellows Announced". Institute of Mathematical Statistics. April 22, 2022. Retrieved May 8, 2022.
  21. ^ "NIH program allows junior investigators to bypass traditional post-doc training". National Institutes of Health (NIH). September 18, 2015. Retrieved August 28, 2018.
  22. ^ Witten, Daniela M.; Tibshirani, Robert (August 9, 2011). "Penalized classification using Fisher's linear discriminant". Journal of the Royal Statistical Society. Series B (Statistical Methodology). 73 (5): 753–772. doi:10.1111/j.1467-9868.2011.00783.x. ISSN 1369-7412. PMC 3272679. PMID 22323898.
  23. ^ "2014 Ziegel Award Announcement". Technometrics. 58 (1): 152–153. January 2, 2016. doi:10.1080/00401706.2015.1105697. ISSN 0040-1706. S2CID 219594955.
  24. ^ "Faculty Profile: Daniela Witten | Department of Biostatistics". biostat.washington.edu. Archived from the original on April 7, 2017. Retrieved August 28, 2018.
  25. ^ "2013 Annual Report" (PDF). Alfred P. Sloan Foundation. 2013. Retrieved August 28, 2018.
  26. ^ "30 Under 30 - Science & Healthcare - Forbes". Forbes. Retrieved August 28, 2018.
  27. ^ Forbes (December 16, 2011), Forbes 30 Under 30 - Success Is In Daniela Witten's DNA, retrieved August 28, 2018
  28. ^ "Daniela Witten – NIH Director's Blog". directorsblog.nih.gov. February 11, 2014. Retrieved August 28, 2018.
  29. ^ "Raymond J. Carroll Young Investigator Award - Dept. of Statistics, Texas A&M University". Dept. of Statistics, Texas A&M University. Retrieved August 28, 2018.
  30. ^ "Daniela Witten named Simons Investigator | Department of Biostatistics". biostat.washington.edu. Archived from the original on August 29, 2018. Retrieved August 28, 2018.
  31. ^ "10 Scientists Rocking Our World". HowStuffWorks. April 2, 2012. Archived from the original on August 29, 2018. Retrieved August 28, 2018.
  32. ^ "Which Career Path Will You Follow? | Amstat News". Magazine.amstat.org. September 1, 2014. Retrieved November 4, 2019.
  33. ^ Aguiar, Izzy (February 1, 2018). "Getting to Know the Women in Data Science: Daniela Witten". Medium. Retrieved November 4, 2019.