PHS 398 _Rev 904__ Biographical Sketch Format Page - Download as DOC
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Principal Investigator/Program Director (Last, First, Middle):
BIOGRAPHICAL SKETCH
Provide the following information for the key personnel and other significant contributors in the order listed on Form Page 2.
Follow this format for each person. DO NOT EXCEED FOUR PAGES.
NAME POSITION TITLE
Yuan, Ji Assistant Professor,
eRA COMMONS USER NAME Dept. of Bioinformatics and Computational Biology
YUANJI
EDUCATION/TRAINING (Begin with baccalaureate or other initial professional education, such as nursing, and include postdoctoral training.)
DEGREE
INSTITUTION AND LOCATION YEAR(s) FIELD OF STUDY
(if applicable)
Fudan Univ., Shanghai, P.R. China 1997 B.A. Mathematics
Univ. of Minnesota, Twin Cities, MN 1999 M.S. Biostatistics
Univ. of Wisconsin – Madison, Madison, WI 2003 Ph.D. Statistics
A. Positions and Honors.
Positions and Employment
2003-2006 Assistant Professor, Dept. of Biostatistics and Applied Mathematics, Univ. of Texas M.D.
Anderson Cancer Center, Houston, TX.
2006-present Assistant Professor, Dept. of Bioinformatics and Computational Biology, Univ. of Texas M. D.
Anderson Cancer Center, Houston, TX.
Other Experience and Professional Memberships
2002-present American Statistical Association - Member
2002-present Institute of Mathematical Statistics - Member
2002-present International Biometric Society - Member
Honors
1995 National Mathematical Modeling Contest. First Prize. Department of Mathematics, Fudan
University, P.R.China.
1996 International Mathematical Modeling Contest. Successful participant. Department of
Mathematics, Fudan University, P.R.China.
2002 Student Travel Award and the Charles Sampson Award. The 25th annual Midwest
Biopharmaceutical Statistics Workshop, Muncie, Indiana.
2002 Merck Foundation Fellowship. Department of Biostatistics and Medical Informatics, University of
Wisconsin – Madison
2002 NSF Young Researcher Travel Grant. Frontiers of Statistical Research: A Celebration of the 40th
Anniversary of the Department of Statistics at Texas A&M University, College Station, Texas
2002 Vilas Travel Fellowship. University of Wisconsin – Madison, Madison, Wisconsin
2003 ENAR Student Award. For the paper “A Bayesian classification method for treatments using
microarray gene expression data” to be presented at ENAR 2003 Spring meeting. International
Biometric Society’s Eastern North American Region (ENAR)
B. Selected peer-reviewed publications (in chronological order).
1. Ji Y, Wu C, Liu P, Coombes KR. Applications of beta-mixture models in bioinformatics. Bioinformatics
21:2118-22, 2005.
2. Ji Y, Tsui K-W, Kim K. A novel means of using gene clusters in a two-step empirical Bayes method for
predicting classes of samples. Bioinformatics 21:1055-61, 2005.
3. Ji Y, Coombes KR, Zhang J, Wen S, Mitchell J, Pusztai L, Symmans WF, Wang J. RefSeq refinements of
UniGene-based gene matching improves the correlation between microarray platforms. Applied
Bioinformatics 5(2):89-98, 2006.
4. Yin G, Li Y, Ji Y. Bayesian dose-finding in phase I/II clinical trials using toxicity and efficacy odds ratio.
Biometrics 62:777-87, 2006.
PHS 398/2590 (Rev. 09/04, Reissued 4/2006) Page Biographical Sketch Format Page
Principal Investigator/Program Director (Last, First, Middle):
5. Ji Y, Tsui K-W, Kim KM. A two-stage empirical Bayes method for identifying differentially expressed
genes. Computational Statistics & Data Analysis 50: 3592-3604, 2006.
6. Kolonin M, Sun J, Do K-A, Vidal CI, Ji Y, Baggerly K, Logothetis C, Arap W, Pasqualini R. Synchronous
selection of homing peptides for multiple tissues by in vivo phage display. The FASEB Journal 20:979-
981, 2006.
7. Ji Y, Yin G, Tsui K, Kolonin M, Sun J, Arap W, Pasqualini R, Do K. Bayesian mixture models for
complex high-dimension count data. Applied Statistics 56(2): 1-14, in-press 2007.
8. Ji Y, Li Y, Yin G. Bayesian dose-finding designs for phase I clinical trials. Statistica Sinica, in-press 2007.
C. Research Support
Ongoing Research Support:
5 P50 CA090270 05 Logothetis (PI) 06/01/01 - 12/31/07
NIH/NCI
University of Texas M.D. Anderson SPORE in Prostate Cancer - Biostatistics Core (PC-B)
The long-term goal of this study is to promote new collaborations and further the existing collaborations with
members of the established prostate cancer SPORES to achieve the common purpose of developing effective
strategies to prevent, detect, and treat prostate cancer.
Role: Co-Investigator
3 P30 CA016672 30 Mendelsohn (PI) 09/04/98 - 06/30/08
NIH/NCI
Cancer Center Support Grant – Bioinformatics
The major goal is to assist researchers in the application of state-of-the-art methodology for the development,
conduct, and analysis of studies using high-throughput technologies.
Role: Collaborator
5 P01 CA049639 18 Champlin (PI) 02/12/97 - 02/28/08
NIH/NCI
Therapy of CML - Biostatistics Core (PC-B)
The goal of this project is to include the development of novel therapeutic interventions which are designed to
correct the biological abnormalities recently uncovered in this disease, further clarify the molecular basis of
progression and therapeutic resistance in this disease, and develop more effective therapeutic interventions for
patients already at the more advanced stages of the disease.
Role: Co-Investigator
Completed Research Support
None
PHS 398/2590 (Rev. 09/04, Reissued 4/2006) Page Continuation Format Page
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