Daniela Witten

Daniela Witten
Born Daniela M. Witten
Alma mater Stanford University (BS, PhD)
Known for An Introduction to Statistical Learning[1]
Awards National Science Foundation CAREER Award (2013)
Forbes 30 Under 30(2012, 2013 and 2014)
Scientific career
Fields Statistics
Machine learning[2]
Institutions University of Washington
Thesis A penalized matrix decomposition, and its applications (2010)
Doctoral advisor Robert Tibshirani[3]
Website faculty.washington.edu/dwitten

Daniela M. Witten is an American biostatistician and Associate Professor at the University of Washington.[4] Her research investigates the use of machine learning to understand high-dimensional data.[2]

Early life and education

Witten studied Mathematics and Biological Sciences at Stanford University, graduating in 2005. She won the Stanford University Firestone Medal for Excellence in Research.[5] She remained here for her postgraduate research, earning a Masters in Statistics in 2006, having switched major from foreign languages.[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 published An Introduction to Statistical Learning in 2013, a widely used textbook that is now in its seventh edition.[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 an 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 as associate editor for the Journal of the American Statistical Association.[33]

Public engagement

Witten's work has 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]

Personal life

Daniela is the daughter of the physicists Chiara Nappi and Edward Witten.[37]

References

  1. 1 2 "Introduction to Statistical Learning". www-bcf.usc.edu. Retrieved 2018-08-28.
  2. 1 2 Daniela Witten publications indexed by Google Scholar Edit this at Wikidata
  3. 1 2 Daniela Witten at the Mathematics Genealogy Project
  4. ↑ "Daniela Witten". faculty.washington.edu.
  5. ↑ "Graduating students recognized for honor projects with Golden, Firestone medals". Stanford University. Retrieved 2018-08-28.
  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. 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.
  14. 1 2 "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.
  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. 1 2 "10 Scientists Rocking Our World". HowStuffWorks. 2012-04-02. Retrieved 2018-08-28.
  38. ↑ "Celebrating Women in Statistics | Amstat News". magazine.amstat.org. Retrieved 2018-08-28.
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