BIOGRAPHICAL SKETCH
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NAME
POSITION TITLE
Tibshirani, Robert J.
Professor of Health Research and Policy
EDUCATION/TRAINING (Begin with baccalaureate or other initial professional education, such as nursing, and include postdoctoral training.)
DEGREE
(if applicable)
YEAR(s)
University of Waterloo, Ontario, Canada
B.Sc.
1979
University of Toronto, Toronto, Canada
Stanford University, Stanford, CA, USA
M.Sc.
Ph.D.
1980
1984
INSTITUTION AND LOCATION
FIELD OF STUDY
Statistics & Computer
Science
Statistics
Statistics
A. Positions and Honors.
Professional Experience
1985–1989
Assistant Professor, (NSERC University Research Fellow), Department of Preventive
Medicine and Biostatistics and Department of Statistics, University of Toronto
1989–1994
Associate Professor (NSERC University Research Fellow) Department of Preventive
Medicine and Biostatistics and Department of Statistics, University of Toronto
1994–1998
Professor, Department of Public Health Science, and Department of Statistics, University of
Toronto
1998–Present Professor, Department of Health Research and Policy and Department of Statistics, Stanford
University
Selected Professional Duties and Committees
1995–1999
Associate Editor, Statistical Science
1995–1996
Chair, IMS Committee on Computerization
1995–1997
Associate Editor, Cancer Journal Statistics
1998–1999
Associate Editor, Annals of Statistics
Selected Honors and Awards
1993
Fellow of the American Statistical Association
1994
J. Guggenheim Foundation Fellowship
1994
Fellow of the Institute of Mathematical Statistics
1996
COPSS (Committee of Presidents of Statistical Societies) (worldwide) Award for contributions
to Statistics before age 40
1997
NSERC E.W.R. Steacie Fellow
2000
CRM-SSC (Statistical Society of Canada) Prize
B. Selected peer-reviewed publications (in chronological order).
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Witten D, Tibshirani R. (2008) Testing significance of features of lassoed principal components.
Annals Applied Statistics 2:986-1012.
Paul D, Bair E, Hastie T, Tibshirani R. (2008) “Preconditioning” for feature selection and regression
in high-dimension problems. Annals Applied Statistics 36:1595-1618.
Tibshirani R. (2008) Discussion of Treelets-An adaptive multi-scale basis for sparse unordered data.
Annals Applied Statistics 2:482-483.
Holger H, Tibshirani R. (2008) A study of pre-validation. Annals Applied Statistics 2:643-664.
Efron B, Hastie T, Tibshirani R. (2007) Discussion: The Dantzig selector: statistical estimation when
p is much larger than n. Annals Applied Statistics 6:2358-2364.
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Biographical Sketch
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Efron, B, TIbshirani R. (2007) On testing the significance of sets of genes. Annals Applied Statistics
1:107-129.
Tibshirani R, Hastie T. (2007) Outlier sums for differential gene expression analysis. Biostatistics.
8(1):2-8.
Guo Y, Hastie T, Tibshirani R. (2007) Regularized linear discriminant analysis and its application in
microarrays. Biostatistics. 8:86-100.
Park MY, Hastie T, Tibshirani R. (2007) Averaged gene expressions for regression. Biostatistics.
8:212-227.
Zhao H, Ljungberg B, Grankvist K, Rasmuson T, Tibshirani R. Brooks JD. (2006) Gene expression
profiling predicts survival in conventional renal cell carcinoma. PLoS Med. 3(1).
Tibshirani, R. (2006) A simple method for assessing sample sizes in microarrary experiments. BMC
Bioinformatics 7:106.
Taylor, J. Tibshirani, R., Efron, B. (2005) The ``Miss rate'' for the analysis of gene expression data.
Biostatistics 6:111-117.
Lossos IS, Czerwinski DK, Alizadeh AA, Wechser MA, Tibshirani R, Botstein D, Levy R. (2004)
Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes. N. Engl.
. Med. 29:350(18):1828-1837.
Rieger KE, Hong WJ, Tusher VG, Tang J, Tibshirani R, Chu G. (2004) Toxicity from radiation therapy
associated with abnormal transcriptional responses to DNA damage. Proc. Natl. Acad. Sci. U S A.
27:101:6635-6640.
Bair E, Tibshirani R. (2004) Semi-supervised methods to predict patient survival from gene
expression data. PLoS Biol. 2(4):E108.
Bullinger L, Dohner K, Bair E, Frohling S, Schlenk RF, Tibshirani R, Dohner H, Pollack JR. (2004)
Use of gene-expression profiling to identify prognostic subclasses in adult acute myeloid leukemia.
N. Engl. J. Med. 15:350:1605-1616.
Storey JD, Tibshirani R. (2003) Statistical significance for genomewide studies. Proc Natl Acad Sci
U S A. 5;100:9440-9445.
Sorlie T, Tibshirani R, Parker J, Hastie T, Marron JS, Nobel A, Deng S, Johnsen H, Pesich
R, Geisler S, Demeter J, Perou CM, Lonning PE, Brown PO, Borresen-Dale AL, Botstein D. (2003)
Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc. Natl.
Acad. Sci. U S A. 8;100:8418-8423.
Wang Y., Liu CL, Storey JD, Tibshirani R., Herschlag D., Brown P.O. (2002) Precision and
functional specificity in mRNA decay. Proc. Natl. Acad. Sci. USA. 99:5860–5865.
Tibshirani R., Efron, B. (2002) Pre-validation and inference in microarrays. Statistical Applications
in Genetics and Molecular Biology. 1:1–20.
Tibshirani R, Hastie T, Narasimhan B, Chu G. (2002) Diagnosis of Multiple Cancer Types by
Shrunken Centroids of Gene Expression. Proc. Natl. Acad. Sci. USA. 99(10):6567-6572.
Hastie T, Tibshirani R, Botstein D, Brown P. (2001) Supervised harvesting of expression trees.
Genome Biol. 2(1): RESEARCH0032.
Sorlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, Hastie T, Eisen MB, van de Rijn, M.,
Jeffrey SS, Thorsen T, Quist H, Matese JC, Brown PO, Botstein D, Lonning E, Borresen-Dale, A-L.
(2001) Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical
implications. Proc. Natl. Acad. Sci. USA. 98:10869–10874.
Tusher VG, Tibshirani R, Chu G. (2001) Significance analysis of microarrays applied to
the ionizing radiation response. Proc. Natl. Acad. Sci .USA 98:5116–5121.
Hastie T, Tibshirani R, Friedman J. (2001) The Elements of Statistical Learning: Data Mining,
Inference and Prediction, Springer-Verlag, New York.
Hastie T, Tibshirani R, Eisen M, Alizadeh A, Levy R, Staudt L, Chan Wing C, Botstein D,
Brown P. (2000) Identifying distinct sets of genes with similar expression
patterns via “Gene Shaving.” Genome Biol. 1:1–21.
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Biographical Sketch
C. Research Support.
ACTIVE
8R01 EB001988 (Johnstone, Hastie)
9/14/07 – 6/30/11
1.8 calendar
NIH
$1,000,000
New Statistical Methods for Medical Signals and Images
Goals: This methodological grant proposes to develop methods for analyzing microarray data and medical
data that comes in the form of signals or images such as MRI and FMRI scans, and protein mass spec.
DMS 0404594 (Tibshirani)
8/1/04 - 7/31/10
1.44 calendar
NSF
$78,460
Flexible and Adaptive Statistical Methods
Goals: In this grant I propose to develop statistical methods for model selection and combination, and write a
textbook on modern statistical learning methods.
R01 CA112016 (Pollack)
4/19/06 – 2/28/11
0.6 calendar
NIH
$174,267
Gene Amplification and Deletion in Pancreatic Cancer
Goals: The major goal of this project is to characterize gene amplifications and deletions in pancreatic
cancer, to understand their role in tumor development and progression, and to investigate their utility as
therapeutic targets.
N01 HV 28183 (Nolan)
9/30/02 - 9/29/09
0.6 calendar
NIH, NHLBI
$1,320,750
Proteomic Analysis of Blood Components in Autoimmune Disease
Goals: The major goal of this project is to develop proteomic approaches to studying autoimmune disease.
The $1,350,763 is the total direct cost for our Proteomic Center.
Subcontract (Levy)
The Leukemia and Lymphoma Society
Immunological Signals and the Control of Lymphoma
Goals: Studies of cell signaling and lymphoma.
10/1/05 - 9/30/10
$1,042,000
0.24 calendar
A140034 (Greenberg)
The Rockefeller University
Hepatitis C: Studies of Immunity and Pathogenesis
Goals: Assisting in microarray analysis.
7/1/05 - 6/30/10
$169,892
0.72 calendar
8-PCA034233F (Levy)
7/17/06 - 3/31/11
2.4 calendar
NIH
$1,086,564
Clinical and Laboratory Studies of Malignant Lymphomas
Goals: Study the biology of and treatment for diffuse large cell lymphoma and follicular lymphoma.
U54 GM62119 (Davis)
9/31/08 - 8/31/09
0.6 calendar
Massachusetts General Hospital
$1,007,774
Inflammation and the Host Response to Injury
Goals: Study the genomic and proteomic properties of inflammation and the host response to injury.
PENDING
Subcontract (Van de Rijn)
7/1/09 - 6/30/12
Palo Alto Institute for Research Education
$396,916
Discovery of Gene Expression Signatures in Cancer Stroma
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0.84 calendar
Biographical Sketch