Daniela Witten

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.[2]

Daniela Witten
Witten interviewed on SiliconAngle TheCube in 2018
Alma materStanford University (BS, PhD)
Known forAn Introduction to Statistical Learning[1]
AwardsMortimer Spiegelman Award (2019)
National Science Foundation CAREER Award (2013)
Forbes 30 Under 30 (2012, 2013 and 2014)
Scientific career
FieldsStatistics
Machine learning[2]
InstitutionsUniversity of Washington
ThesisA penalized matrix decomposition, and its applications (2010)
Doctoral advisorRobert Tibshirani[3]
Websitefaculty.washington.edu/dwitten

Early life and education

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.[3][9][10] She worked with Trevor Hastie on canonical correlation analysis.[11] At Stanford University she won several awards, including a Presidential Scholarship and a National Defense Science and Engineering Graduate Fellowship.[12] She co-authored An Introduction to Statistical Learning in 2013, a widely used textbook that is now in its seventh printing.[1] The book won a Technometrics Ziegel Award in 2014.[13]

Research and career

Witten applies statistical machine learning to personalised medical treatments and decoding the genome.[14] She uses machine learning to analyse data sets in neuroscience and genomics.[15] She is worried about increasing amounts of data in biomedical sciences.[16]

She was appointed to the University of Washington as Genetech Endowed Professor in 2010.[17] She was awarded an NIH Director's Early Independence Award in 2011.[18] 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.[19] Witten contributed to the 2012 report Evolution of Translational Omics that provided best practise in translating omics research into a clinic.[20][21] She won an Elle magazine Genius Award in 2012.[22] In 2013 she won an Alfred P. Sloan Foundation Fellowship.[23] Her group have developed a range of open access software packages.[24] She has appeared in a Big Data to Knowledge webinar.[25] She delivered a TEDTalk at the University of Washington entitled Cancer by Numbers.[26]

She won a National Science Foundation CAREER Award in 2013, allowing her to develop new statistical methods for graphical modelling.[27] She became a PopTech Science Fellow in 2013.[14] She was named in the Forbes 30 Under 30 Science & Healthcare category in 2012, 2013 and 2014.[28][29][30] In 2015 Witten was awarded the Texas A&M University Raymond J. Carroll Young Investigator Award.[31] In 2018 she was named a Simons Foundation Investigator.[32] She is an associate editor for the Journal of the American Statistical Association.[33]

Public engagement and recognition

Witten's work has been featured in Forbes magazine, Elle magazine and on NPR.[34][35] She has discussed big data with the American Association for the Advancement of Science.[36] She was named one of the 10 Scientists Rocking Our World by HowStuffWorks.[37] In 2018 she was celebrated by the American Statistical Association as being one of the top women in data science.[38]

She was elected as a Fellow of the American Statistical Association in 2020.[39]

Personal life

Daniela is the younger sister of Ilana B. Witten and daughter of the physicists Chiara Nappi and Edward Witten.[37] On August 17, 2008, she married Ari Steinberg, a software engineer and manager at Facebook in Palo Alto, California. They have two children, born in 2014[40] and 2015.[41]

References
  1. "Introduction to Statistical Learning". www-bcf.usc.edu. Retrieved 2018-08-28.
  2. Daniela Witten publications indexed by Google Scholar
  3. Daniela Witten at the Mathematics Genealogy Project
  4. "Daniela Witten". faculty.washington.edu.
  5. "UW Biostatistics People Page". UW Biostatistics People Page.
  6. UWTV (2013-09-12), UW Four Peaks - Daniela Witten, retrieved 2018-08-28
  7. "Interview With Daniela Witten · Simply Statistics". simplystatistics.org. Retrieved 2018-08-28.
  8. Inc., Advanced Solutions International. "Gertrude M. Cox Scholarship". www.amstat.org. Archived from the original on 2018-08-29. Retrieved 2018-08-28.
  9. Witten, Daniela (2010). A penalized matrix decomposition, and its applications (PDF). stanford.edu (PhD thesis). Stanford University. OCLC 667187274. Retrieved 2018-08-28.
  10. "Daniela Witten | Department of Statistics". statistics.stanford.edu. Retrieved 2018-08-28.
  11. Witten, D. M.; Tibshirani, R.; Hastie, T. (2009-04-17). "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". Women in Data Science (WiDS) Conference 2018. Retrieved 2018-08-28.
  13. "2014 Ziegel Award Announcement". Technometrics. 58 (1): 152–153. 2016-01-02. doi:10.1080/00401706.2015.1105697. ISSN 0040-1706. S2CID 219594955.
  14. "Daniela Witten". PopTech. Retrieved 2018-08-28.
  15. Aguiar, Izzy (2018-02-01). "Getting to Know the Women in Data Science: Daniela Witten". medium.com. Retrieved 2018-08-28.
  16. Stanford University School of Engineering (2018-04-03), Daniela Witten: The Statistical Challenges of Increased Data, retrieved 2018-08-28
  17. "Daniela Witten | Department of Biostatistics". www.biostat.washington.edu. Retrieved 2018-08-28.
  18. "NIH program allows junior investigators to bypass traditional post-doc training". National Institutes of Health (NIH). 2015-09-18. Retrieved 2018-08-28.
  19. Witten, Daniela M.; Tibshirani, Robert (2011-08-09). "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.
  20. Medicine, Institute of; Policy, Board on Health Sciences; Services, Board on Health Care; Trials, Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical (2012-09-13). Evolution of Translational Omics: Lessons Learned and the Path Forward. National Academies Press. ISBN 9780309224185.
  21. Witten, D. M.; Tibshirani, R. (2013-01-01). "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.
  22. "Faculty Profile: Daniela Witten | Department of Biostatistics". www.biostat.washington.edu. Retrieved 2018-08-28.
  23. "2013 Annual Report" (PDF). Alfred P. Sloan Foundation. 2013. Retrieved 2018-08-28.
  24. "Publicly-Available Software". faculty.washington.edu. Retrieved 2018-08-28.
  25. BD2K Guide to the Fundamentals of Data Science (2017-02-17), Supervised Machine Learning, retrieved 2018-08-28
  26. TEDx Talks (2012-09-07), Cancer by Numbers: Daniela Witten at TEDxUofW, retrieved 2018-08-28
  27. "NSF Award Search: Award#1252624 - CAREER: Flexible Network Estimation from High-Dimensional Data". www.nsf.gov. Retrieved 2018-08-28.
  28. "30 Under 30 - Science & Healthcare - Forbes". Forbes. Retrieved 2018-08-28.
  29. Forbes (2011-12-16), Forbes 30 Under 30 - Success Is In Daniela Witten's DNA, retrieved 2018-08-28
  30. "Daniela Witten – NIH Director's Blog". directorsblog.nih.gov. Retrieved 2018-08-28.
  31. "Raymond J. Carroll Young Investigator Award - Dept. of Statistics, Texas A&M University". Dept. of Statistics, Texas A&M University. Retrieved 2018-08-28.
  32. "Daniela Witten named Simons Investigator | Department of Biostatistics". biostat.washington.edu. Retrieved 2018-08-28.
  33. "Editorial Board EOV". Journal of the American Statistical Association. 109 (508): ebi. 2014-10-02. doi:10.1080/01621459.2014.980188. ISSN 0162-1459. S2CID 219594544.
  34. "Daniela Witten | Amstat News". magazine.amstat.org. Retrieved 2018-08-28.
  35. Gruener, Marcie Sillman, Posey. "How Crunching Big Data Could Save Our Lives". Retrieved 2018-08-28.
  36. "The Big Data Blog, Part II: Daniela Witten". AAAS - The World's Largest General Scientific Society. 2014-03-17. Retrieved 2018-08-28.
  37. "10 Scientists Rocking Our World". HowStuffWorks. 2012-04-02. Retrieved 2018-08-28.
  38. "Celebrating Women in Statistics". Amstat News. American Statistical Association. Retrieved 2018-08-28.
  39. "ASA Fellows list". American Statistical Association. Retrieved 2020-06-01.
  40. "Which Career Path Will You Follow? | Amstat News". Magazine.amstat.org. 2014-09-01. Retrieved 2019-11-04.
  41. Aguiar, Izzy (Feb 1, 2018). "Getting to Know the Women in Data Science: Daniela Witten". Medium. Retrieved Nov 4, 2019.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.