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Daniela Witten

From Wikipedia, the free encyclopedia
American biostatistician

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 Americanbiostatistician. She is a professor and theDorothy Gilford Endowed Chair of Mathematical Statistics at theUniversity of Washington.[4][5] Her research investigates the use ofmachine learning to understandhigh-dimensional data.[1]

Early life and education

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Witten studied mathematics and biology atStanford 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 theAmerican Statistical AssociationGertrude Mary Cox Scholarship in 2008.[8] Her doctoral thesis,A penalized matrix decomposition, and its applications was supervised byRobert Tibshirani.[2][9][10] She worked withTrevor Hastie on canonical correlation analysis.[11] She co-authoredAn 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 inneuroscience andgenomics.[13] She is worried about increasing amounts of data in biomedical sciences.[14]

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

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

Recognition

[edit]

She was elected as aFellow of the American Statistical Association in 2020.[19] She was named to the 2022 class of Fellows of theInstitute 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 theAmerican Statistical Association David P. Byar Young Investigator Award for her workPenalized Classification Using Fisher’s Linear Discriminant in 2011.[22] Her bookAn Introduction to Statistical Learning won aTechnometrics Ziegel Award in 2014.[23]She won anElle magazineGenius Award in 2012.[24] In 2013 she won anAlfred P. Sloan Foundation Fellowship.[25] She was named in theForbes 30 Under 30 Science & Healthcare category in 2012, 2013 and 2014.[26][27][28] In 2015 Witten was awarded theTexas A&M UniversityRaymond J. Carroll Young Investigator Award.[29] In 2018, she was named aSimons Foundation Investigator,[30] and in 2022, she received theCOPSS Presidents' Award.

Personal life

[edit]

Daniela is the younger sister ofIlana B. Witten, the older sister of Rafael Witten, and the daughter of the physicistsChiara Nappi andEdward Witten.[31] She is married to software engineer Ari Steinberg.[32][33]

References

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  1. ^abDaniela Witten publications indexed byGoogle ScholarEdit this at Wikidata
  2. ^abDaniela Witten at theMathematics Genealogy Project
  3. ^abJames, 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, retrievedAugust 28, 2018
  7. ^"Interview With Daniela Witten · Simply Statistics".simplystatistics.org. Archived fromthe original on January 29, 2013. RetrievedAugust 28, 2018.
  8. ^"Gertrude M. Cox Scholarship".amstat.org.American Statistical Association. Archived fromthe original on August 29, 2018. RetrievedAugust 28, 2018.
  9. ^Witten, Daniela (2010).A penalized matrix decomposition, and its applications(PDF).stanford.edu (PhD thesis). Stanford University.OCLC 667187274. RetrievedAugust 28, 2018.
  10. ^"Daniela Witten | Department of Statistics".statistics.stanford.edu. RetrievedAugust 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 fromthe original on March 8, 2022. RetrievedAugust 28, 2018.
  13. ^Aguiar, Izzy (February 1, 2018)."Getting to Know the Women in Data Science: Daniela Witten".medium.com. RetrievedAugust 28, 2018.
  14. ^Stanford University School of Engineering (April 3, 2018),Daniela Witten: The Statistical Challenges of Increased Data, retrievedAugust 28, 2018
  15. ^"Daniela Witten | Department of Biostatistics".biostat.washington.edu. RetrievedAugust 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. RetrievedJune 1, 2020.
  20. ^"2022 IMS Fellows Announced". Institute of Mathematical Statistics. April 22, 2022. RetrievedMay 8, 2022.
  21. ^"NIH program allows junior investigators to bypass traditional post-doc training".National Institutes of Health (NIH). September 18, 2015. RetrievedAugust 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 fromthe original on April 7, 2017. RetrievedAugust 28, 2018.
  25. ^"2013 Annual Report"(PDF).Alfred P. Sloan Foundation. 2013. RetrievedAugust 28, 2018.
  26. ^"30 Under 30 - Science & Healthcare - Forbes".Forbes. RetrievedAugust 28, 2018.
  27. ^Forbes (December 16, 2011),Forbes 30 Under 30 - Success Is In Daniela Witten's DNA, retrievedAugust 28, 2018
  28. ^"Daniela Witten – NIH Director's Blog".directorsblog.nih.gov. February 11, 2014. RetrievedAugust 28, 2018.
  29. ^"Raymond J. Carroll Young Investigator Award - Dept. of Statistics, Texas A&M University".Dept. of Statistics, Texas A&M University. RetrievedAugust 28, 2018.
  30. ^"Daniela Witten named Simons Investigator | Department of Biostatistics".biostat.washington.edu. Archived fromthe original on August 29, 2018. RetrievedAugust 28, 2018.
  31. ^"10 Scientists Rocking Our World".HowStuffWorks. April 2, 2012. Archived fromthe original on August 29, 2018. RetrievedAugust 28, 2018.
  32. ^"Which Career Path Will You Follow? | Amstat News". Magazine.amstat.org. September 1, 2014. RetrievedNovember 4, 2019.
  33. ^Aguiar, Izzy (February 1, 2018)."Getting to Know the Women in Data Science: Daniela Witten".Medium. RetrievedNovember 4, 2019.
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