Chiara Sabatti

Last updated

Chiara Sabatti
Born
Brescia, Italy
Education Bocconi University
Stanford University
Spouse Emmanuel Candès
Scientific career
Institutions UCLA
Stanford University
Thesis Group Transformations and Dimensionality Reduction in Transition Rules for MCMC  (1998)
Doctoral advisor Jun S. Liu
Other academic advisorsEugenio Regazzini
Neil Risch
Website chiarasabatti.su.domains

Chiara Sabatti is an Italian and American statistician and statistical geneticist, and a professor of biomedical data science and of statistics at Stanford University. [1] Her research involves the analysis of high-throughput genomics data.

Contents

Education and career

Sabatti was born in Brescia, Italy. She studied in Brescia and Milan and earned her bachelor's and master's degrees in statistics and economics from Bocconi University in 1993, summa cum laude, working there with Eugenio Regazzini. [1] She came to Stanford University for doctoral study in statistics, and completed her Ph.D. in 1998. Her dissertation, Group Transformations and Dimensionality Reduction in Transition Rules for MCMC, was supervised by Jun S. Liu. [2]

After postdoctoral research at Stanford in the group of Neil Risch, Sabatti became an assistant professor of human genetics and statistics at the University of California, Los Angeles in 2000. She returned to Stanford as an associate professor of health research and policy in 2009, changing to biomedical data science and statistics in 2015. She was promoted to full professor at Stanford in 2016. [1]

Recognition

Sabatti was named to the 2022 class of Fellows of the Institute of Mathematical Statistics, for "excellent research in statistical genetics; and leadership in defining a role for statistics in data science and developing educational pathways supporting data intensive science. For outreach efforts and commitment to increase research involvement of underrepresented minorities". [3]

Personal life

Sabatti is married to Stanford statistician and data scientist Emmanuel Candès. [4]

Related Research Articles

<span class="mw-page-title-main">Emmanuel Candès</span> French statistician

Emmanuel Jean Candès is a French statistician. He is a professor of statistics and electrical engineering at Stanford University, where he is also the Barnum-Simons Chair in Mathematics and Statistics. Candès is a 2017 MacArthur Fellow.

<span class="mw-page-title-main">David Donoho</span> American statistician

David Leigh Donoho is an American statistician. He is a professor of statistics at Stanford University, where he is also the Anne T. and Robert M. Bass Professor in the Humanities and Sciences. His work includes the development of effective methods for the construction of low-dimensional representations for high-dimensional data problems, development of wavelets for denoising and compressed sensing. He was elected a Member of the American Philosophical Society in 2019.

<span class="mw-page-title-main">Nancy Reid</span> Canadian statistician

Nancy Margaret Reid is a Canadian theoretical statistician. She is a professor at the University of Toronto where she holds a Canada Research Chair in Statistical Theory. In 2015 Reid became Director of the Canadian Institute for Statistical Sciences.

<span class="mw-page-title-main">Robert Tibshirani</span> Canadian statistician

Robert Tibshirani is a professor in the Departments of Statistics and Biomedical Data Science at Stanford University. He was a professor at the University of Toronto from 1985 to 1998. In his work, he develops statistical tools for the analysis of complex datasets, most recently in genomics and proteomics.

Lynne Billard is an Australian statistician and professor at the University of Georgia, known for her statistics research, leadership, and advocacy for women in science. She has served as president of the American Statistical Association, and the International Biometric Society, one of a handful of people to have led both organizations.

Wing Hung Wong is a Chinese-American statistician, computational biologist, and Stanford University professor.

<span class="mw-page-title-main">Olive Jean Dunn</span> American mathematician

Olive Jean Dunn was an American mathematician and statistician, and professor of biostatistics at the University of California Los Angeles (UCLA). She described methods for computing confidence intervals and also codified the Bonferroni correction's application to confidence intervals. She authored the textbook Basic Statistics: A Primer for the Biomedical Sciences in 1977.

Elizabeth Alison Thompson is a British-born American statistician at the University of Washington. Her research concerns the use of genetic data to infer relationships between individuals and populations. She is the 2017–2018 president of the International Biometric Society.

Alice Segers Whittemore is an American epidemiologist and biostatistician who studies the effects of genetics and lifestyle on cancer, after an earlier career as a pure mathematician studying group theory. She works as a professor of health research and policy and of biomedical data science at Stanford University, and has served as president of the International Biometric Society.

Tian Zheng is a Chinese-American applied statistician whose work concerns Bayesian modeling and sparse learning of complex data from applications including social networks, bioinformatics, and geoscience. She is a professor of statistics at Columbia University, and chair of the Columbia Department of Statistics.

<span class="mw-page-title-main">Daniela Witten</span> American biostatistician

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.

Katerina Joanna Kechris is an American statistician, a professor of biostatistics and informatics in the Colorado School of Public Health, and a regional president of the International Biometric Society. Her research focuses on the use of omics data to study relations between genetics and disease.

Rina Foygel Barber is an American statistician whose research includes works on the Bayesian statistics of graphical models, false discovery rates, and regularization. She is the Louis Block Professor of statistics at the University of Chicago.

Jiayang Sun is an American statistician whose research has included work on simultaneous confidence bands for multiple comparisons, selection bias, mixture models, Gaussian random fields, machine learning, big data, statistical computing, graphics, and applications in biostatistics, biomedical research, software bug tracking, astronomy, and intellectual property law. She is a statistics professor, Bernard J. Dunn Eminent Scholar, and chair of the statistics department at George Mason University, and a former president of the Caucus for Women in Statistics.

Francesca Chiaromonte is an Italian statistician known for her work on statistical genetics and dimensionality reduction. She works at Pennsylvania State University as the Dorothy Foehr Huck and J. Lloyd Huck Chair in Statistics for the Life Sciences, professor of statistics, and director of the Genome Sciences Institute, and in the Institute of Economics of the Sant'Anna School of Advanced Studies in Italy as the scientific coordinator for Economics and Management in the era of Data Science.

Fang Liu is a Chinese-American statistician and data scientist whose research topics include differential privacy, statistical learning theory, Bayesian statistics, regularization, missing data, and applications in biostatistics. She is a professor in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame.

Clarice Ring Weinberg is an American biostatistician and epidemiologist who works for the National Institute of Environmental Health Sciences as principal investigator in the Biostatistics and Computational Biology Branch. Her research concerns environmental epidemiology, and its combination with genetics in susceptibility to disease, including running the Sister Study on how environmental and genetic effects can lead to breast cancer. She has also published highly cited research on fertility.

Antonietta Mira is an Italian computational statistician whose research involves the application of Markov chain Monte Carlo methods to Bayesian inference. She is a professor of statistics in the Faculty of Economics and Institute of Computational Science at the Università della Svizzera italiana in Lugano, Switzerland, and professor of statistics in the University of Insubria in Italy.

Joan Jian-Jian Ren is a Chinese-American statistician whose research concerns survival analysis and longitudinal data analysis for biomedical applications. She is a professor of mathematics at the University of Maryland, College Park.

Genevera Irene Allen is an American statistician whose research has involved interpretable machine learning, the reproducibility of machine learning results, and the neuroscience of synesthesia. She is an associate professor of electrical and computer engineering, statistics, and computer science at Rice University, and also holds affiliations with Texas Children's Hospital and the Baylor College of Medicine.

References

  1. 1 2 3 "Chiara Sabatti", Stanford Profiles, Stanford University, retrieved 2022-05-09; see also linked curriculum vitae
  2. Chiara Sabatti at the Mathematics Genealogy Project
  3. 2022 IMS Fellows Announced, Institute of Mathematical Statistics, 22 April 2022, retrieved 2022-05-08
  4. Khan, Amina (10 October 2017), "MacArthur fellow Emmanuel Candès uses little bits of data to see the big picture", Los Angeles Times, retrieved 2022-05-08