丹妮拉·维滕

丹妮拉·维滕

Daniela Witten
生卒
20 世纪 –
国籍
美国
外文名
Daniela Witten

照片:SiliconANGLE theCUBE,CC BY 3.0,来自维基共享资源「Daniela Witten on SiliconAngle TheCube.jpg」(经缩小)。

生平与创作

丹妮拉·威滕(英语:Daniela Witten)是美国生物统计学家、华盛顿大学教授。

生平

威滕本科时在斯坦福大学学习数学与生物,2005年毕业获学士学位。此后继续留校深造,先后获硕士与博士学位。其博士论文题为《一种惩罚性矩阵分解及其应用》(A penalized matrix decomposition, and its applications),导师为罗伯特·提布西拉尼。2010年起出任华盛顿大学教授。

威滕于2020年当选美国统计学会会士,2022年又当选国际数理统计学会会士。

家庭

丹妮拉·威滕是著名数学物理学家、菲尔兹奖得主爱德华·威滕与物理学家基娅拉·纳皮之女。她的姐姐艾拉娜·威滕则是一位神经科学家。

以上文字摘自维基百科「丹妮拉·威滕」(去掉了参考文献等尾部小节),按 CC BY-SA 4.0 使用,作者为维基百科的各位编者。

中文维基百科的条目比较短,下面附上英文维基百科的内容(英文原文):

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. Her research investigates the use of machine learning to understand high-dimensional data.

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. She was awarded the American Statistical Association Gertrude Mary Cox Scholarship in 2008. Her doctoral thesis, A penalized matrix decomposition, and its applications was supervised by Robert Tibshirani. She worked with Trevor Hastie on canonical correlation analysis. She co-authored An Introduction to Statistical Learning in 2013.

Research and career

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

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

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

Recognition

She was elected as a Fellow of the American Statistical Association in 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".

She was awarded an NIH Director's Early Independence Award in 2011. 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. Her book An Introduction to Statistical Learning won a Technometrics Ziegel Award in 2014.

She won an Elle magazine Genius Award in 2012. In 2013 she won an Alfred P. Sloan Foundation Fellowship. She was named in the Forbes 30 Under 30 Science & Healthcare category in 2012, 2013 and 2014. In 2015 Witten was awarded the Texas A&M University Raymond J. Carroll Young Investigator Award. In 2018, she was named a Simons Foundation Investigator, and in 2022, she received the COPSS Presidents' Award.

Personal life

Witten 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. She is married to software engineer Ari Steinberg.

以上文字摘自英文维基百科「Daniela Witten」(去掉了参考文献等尾部小节),按 CC BY-SA 4.0 使用,作者为维基百科的各位编者。

资料卡

出生
20 世纪
职业
生物统计学家、统计学家、大学教师
就读学校
斯坦福大学
领域
生物统计学、统计学、机器学习、基因组学
所属团体
美国统计协会(2020)、国际数理统计学会(2022)
获奖
数理统计学会会士(2022);另有 4 项只有外文名

资料卡来自 Wikidata Q21504196(CC0),众包数据,个别字段可能不全。

同时代的美国作家

资料来源