Daniela Witten
{{short description|American biostatistician}}
{{use mdy dates|date=November 2023}}
{{Infobox scientist
| name = Daniela Witten
| image = Daniela Witten on SiliconAngle TheCube.jpg
| caption = Witten at the SiliconAngle digital community TheCube in 2018
| birth_name =
| alma_mater = Stanford University (BS, PhD)
| known_for = An Introduction to Statistical Learning
| spouse = Ari Steinberg
| father = Edward Witten
| mother = Chiara Nappi
| relatives = {{plainlist|
- Ilana B. Witten (sister)
- Louis Witten (grandfather)
- Matt Witten (uncle)
- Benjamin Witten (great-uncle)
}}
| awards = {{plainlist|
- Forbes 30 Under 30 (2012–2014)
- National Science Foundation CAREER Award (2013)
- Mortimer Spiegelman Award (2019)
- COPSS Presidents' Award (2022)
}}
| fields = {{plainlist|
}}
| work_institution = University of Washington
| thesis_title = A penalized matrix decomposition, and its applications
| thesis_url = https://stacks.stanford.edu/file/druid:fw911jf5800/WittenThesisJune212010-forsubmission-augmented.pdf
| thesis_year = 2010
| doctoral_advisor = Robert Tibshirani{{MathGenealogy|id=145686}}
| website = {{URL|http://faculty.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.{{cite web|url=http://faculty.washington.edu/dwitten|title=Daniela Witten|website=faculty.washington.edu}}{{cite web |title=UW Biostatistics People Page |url=https://www.biostat.washington.edu/people/daniela-witten |website=UW Biostatistics People Page}} Her research investigates the use of machine learning to understand high-dimensional data.{{Google scholar id}}
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.{{Citation|last=UWTV|title=UW Four Peaks - Daniela Witten|date=September 12, 2013|url=https://www.youtube.com/watch?v=XInkCbA6Yfo|access-date=August 28, 2018}}{{cite web|url=https://simplystatistics.org/2011/10/14/interview-with-daniela-witten/|archive-url=https://web.archive.org/web/20130129055556/http://simplystatistics.org/2011/10/14/interview-with-daniela-witten/|url-status=dead|archive-date=January 29, 2013|title=Interview With Daniela Witten · Simply Statistics|website=simplystatistics.org|language=en|access-date=August 28, 2018}} She was awarded the American Statistical Association Gertrude Mary Cox Scholarship in 2008.{{cite web|url=http://www.amstat.org/ASA/Your-Career/Awards/Gertrude-M-Cox-Scholarship.aspx|title=Gertrude M. Cox Scholarship|publisher=American Statistical Association|website=amstat.org|access-date=August 28, 2018|archive-url=https://web.archive.org/web/20180829000148/http://www.amstat.org/ASA/Your-Career/Awards/Gertrude-M-Cox-Scholarship.aspx|archive-date=August 29, 2018|url-status=dead}} Her doctoral thesis, A penalized matrix decomposition, and its applications was supervised by Robert Tibshirani.{{Cite thesis|degree=PhD|url=https://stacks.stanford.edu/file/druid:fw911jf5800/WittenThesisJune212010-forsubmission-augmented.pdf|title=A penalized matrix decomposition, and its applications|last=Witten|first=Daniela|date=2010|publisher=Stanford University|oclc=667187274|access-date=August 28, 2018|website=stanford.edu}}{{cite web|url=https://statistics.stanford.edu/people/daniela-witten|title=Daniela Witten {{!}} Department of Statistics|website=statistics.stanford.edu|language=en|access-date=August 28, 2018}} She worked with Trevor Hastie on canonical correlation analysis.{{Cite journal|last1=Witten|first1=D. M.|last2=Tibshirani|first2=R.|last3=Hastie|first3=T.|date=April 17, 2009|title=A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis|journal=Biostatistics|language=en|volume=10|issue=3|pages=515–534|doi=10.1093/biostatistics/kxp008|pmid=19377034|pmc=2697346|issn=1465-4644}} She co-authored An Introduction to Statistical Learning in 2013.{{cite book|url=https://books.google.com/books?id=qcI_AAAAQBAJ|title=An Introduction to Statistical Learning: with Applications in R |last1=James |first1=Gareth |author1-link=Gareth M. James |last2=Witten |first2=Daniela |last3=Hastie |first3=Trevor |author3-link=Trevor Hastie |last4=Tibshirani |first4=Robert |author4-link=Robert Tibshirani |edition=1st |year=2013 |publisher=Springer |isbn=978-1-4614-7137-0}}
Research and career
Witten applies statistical machine learning to personalised medical treatments and decoding the genome.{{cite web|url=https://past.poptech.org/people/daniela_witten|title=Daniela Witten|website=PopTech|access-date=August 28, 2018|archive-date=March 8, 2022|archive-url=https://web.archive.org/web/20220308172612/https://past.poptech.org/people/daniela_witten|url-status=dead}} She uses machine learning to analyse data sets in neuroscience and genomics.{{cite web|url=https://medium.com/@izabel.p.aguiar/getting-to-know-the-women-in-data-science-daniela-witten-5b1ac8846c6f|title=Getting to Know the Women in Data Science: Daniela Witten|last=Aguiar|first=Izzy|date=February 1, 2018|website=medium.com|access-date=August 28, 2018}} She is worried about increasing amounts of data in biomedical sciences.{{Citation|last=Stanford University School of Engineering|title=Daniela Witten: The Statistical Challenges of Increased Data|date=April 3, 2018|url=https://www.youtube.com/watch?v=sxVSJft49oU|access-date=August 28, 2018}}
She was appointed to the University of Washington as Genentech Endowed Professor in 2010.{{cite web|url=https://www.biostat.washington.edu/people/daniela-witten|title=Daniela Witten {{!}} Department of Biostatistics|website=biostat.washington.edu|language=en|access-date=August 28, 2018}} Witten contributed to the 2012 report Evolution of Translational Omics, which provided best practise in translating omics research into a clinic.{{cite book | last1 = IOM (Institute of Medicine) | date = 2012 | location = Washington, DC | publisher = The National Academies Press | title = Evolution of Translational Omics: Lessons Learned and the Path Forward | editor-first1 = Christine M. | editor-last1 = Micheel | editor-first2 = Sharly J. | editor-last2 = Nass | editor-first3 = Gilbert S. | editor-last3 = Omenn | isbn = 978-0-309-22418-5 | url = https://books.google.com/books?id=bliqvad40cYC&q=Genentech+Endowed+Professorship+in+Biostatistics+witten&pg=PA313 | language = en }}{{Cite journal|last1=Witten|first1=D. M.|last2=Tibshirani|first2=R.|date=January 1, 2013|title=Scientific research in the age of omics: the good, the bad, and the sloppy|journal=Journal of the American Medical Informatics Association|language=en|volume=20|issue=1|pages=125–127|doi=10.1136/amiajnl-2012-000972|pmid=23037799|pmc=3555320|issn=1067-5027}}
She is an associate editor for the Journal of the American Statistical Association.{{Cite journal|date=October 2, 2014|title=Editorial Board EOV|journal=Journal of the American Statistical Association|language=en|volume=109|issue=508|pages=ebi|doi=10.1080/01621459.2014.980188|s2cid=219594544|issn=0162-1459}}
Recognition
She was elected as a Fellow of the American Statistical Association in 2020.{{cite web|url=https://www.amstat.org/ASA/Your-Career/Awards/ASA-Fellows-list.aspx|title=ASA Fellows list|publisher=American Statistical Association|access-date=June 1, 2020}} 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".{{cite web|url=https://imstat.org/2022/04/22/2022-ims-fellows-announced/|title=2022 IMS Fellows Announced|date=April 22, 2022|publisher=Institute of Mathematical Statistics|access-date=May 8, 2022}}
She was awarded an NIH Director's Early Independence Award in 2011.{{Cite news|url=https://www.nih.gov/news-events/news-releases/nih-program-allows-junior-investigators-bypass-traditional-post-doc-training|title=NIH program allows junior investigators to bypass traditional post-doc training|date=September 18, 2015|work=National Institutes of Health (NIH)|access-date=August 28, 2018|language=en}} 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.{{Cite journal|last1=Witten|first1=Daniela M.|last2=Tibshirani|first2=Robert|date=August 9, 2011|title=Penalized classification using Fisher's linear discriminant|journal=Journal of the Royal Statistical Society. Series B (Statistical Methodology)|language=en|volume=73|issue=5|pages=753–772|doi=10.1111/j.1467-9868.2011.00783.x|issn=1369-7412|pmc=3272679|pmid=22323898}} Her book An Introduction to Statistical Learning won a Technometrics Ziegel Award in 2014.{{Cite journal|date=January 2, 2016|title=2014 Ziegel Award Announcement|journal=Technometrics|language=en|volume=58|issue=1|pages=152–153|doi=10.1080/00401706.2015.1105697|s2cid=219594955|issn=0040-1706}}
She won an Elle magazine Genius Award in 2012.{{cite web|url=https://www.biostat.washington.edu/news-events/faculty-profile-daniela-witten|archive-url=https://web.archive.org/web/20170407181536/http://www.biostat.washington.edu/news-events/faculty-profile-daniela-witten|url-status=dead|archive-date=April 7, 2017|title=Faculty Profile: Daniela Witten {{!}} Department of Biostatistics|website=biostat.washington.edu|language=en|access-date=August 28, 2018}} In 2013 she won an Alfred P. Sloan Foundation Fellowship.{{cite web|url=https://sloan.org/storage/app/media/files/annual_reports/2013-Annual-Report.pdf|title=2013 Annual Report|date=2013|website=Alfred P. Sloan Foundation|access-date=August 28, 2018}} She was named in the Forbes 30 Under 30 Science & Healthcare category in 2012, 2013 and 2014.{{Cite news|url=https://www.forbes.com/special-report/2014/30-under-30/science-and-healthcare.html|title=30 Under 30 - Science & Healthcare - Forbes|work=Forbes|access-date=August 28, 2018|language=en}}{{Citation|last=Forbes|title=Forbes 30 Under 30 - Success Is In Daniela Witten's DNA|date=December 16, 2011|url=https://www.youtube.com/watch?v=FJZakJFSbcI|access-date=August 28, 2018}}{{cite web|url=https://directorsblog.nih.gov/tag/daniela-witten/|title=Daniela Witten – NIH Director's Blog|website=directorsblog.nih.gov|date=February 11, 2014 |language=en-US|access-date=August 28, 2018}} In 2015 Witten was awarded the Texas A&M University Raymond J. Carroll Young Investigator Award.{{Cite news|url=https://www.stat.tamu.edu/about/awards-and-prizes/raymond-j-carroll-young-investigator-award/|title=Raymond J. Carroll Young Investigator Award - Dept. of Statistics, Texas A&M University|work=Dept. of Statistics, Texas A&M University|access-date=August 28, 2018|language=en-US}} In 2018, she was named a Simons Foundation Investigator,{{cite web|url=https://www.biostat.washington.edu/news-events/daniela-witten-named-simons-investigator-|archive-url=https://web.archive.org/web/20180829072259/https://www.biostat.washington.edu/news-events/daniela-witten-named-simons-investigator-|url-status=dead|archive-date=August 29, 2018|title=Daniela Witten named Simons Investigator {{!}} Department of Biostatistics|website=biostat.washington.edu|language=en|access-date=August 28, 2018}} and in 2022, she received the COPSS Presidents' Award.
Personal life
{{Scholia}}
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.{{Cite news|url=https://science.howstuffworks.com/innovation/scientific-experiments/10-scientists-changing-world6.htm|title=10 Scientists Rocking Our World|date=April 2, 2012|work=HowStuffWorks|access-date=August 28, 2018|language=en|archive-date=August 29, 2018|archive-url=https://web.archive.org/web/20180829040508/https://science.howstuffworks.com/innovation/scientific-experiments/10-scientists-changing-world6.htm|url-status=dead}} She is married to software engineer Ari Steinberg.{{cite web|url=http://magazine.amstat.org/blog/2014/09/01/career-path/ |title=Which Career Path Will You Follow? | Amstat News |publisher=Magazine.amstat.org |date=September 1, 2014 |access-date=November 4, 2019}}{{cite web|url=https://medium.com/@izabel.p.aguiar/getting-to-know-the-women-in-data-science-daniela-witten-5b1ac8846c6f|title=Getting to Know the Women in Data Science: Daniela Witten|first=Izzy|last=Aguiar|date=Feb 1, 2018|website=Medium|access-date=Nov 4, 2019}}
{{Clear}}
References
{{reflist|colwidth=30em}}
{{Authority control}}
{{DEFAULTSORT:Witten, Daniela}}
Category:American women statisticians
Category:Stanford University alumni
Category:University of Washington faculty
Category:American biostatisticians
Category:American science writers
Category:Fellows of the American Statistical Association
Category:Fellows of the Institute of Mathematical Statistics