Jie Peng

            Department of Statistics                                                                                                                Tel:   (530) 754-6905 (office)

        University of California                                                                                                                  Email:jie$wald.ucdavis.edu

                  Davis,        CA 95616                                                                                                                 Web:http://anson.ucdavis.edu/~jie

Education

    2000.9-2004.9         Stanford University

PHD in Statistics

Advisor: David.O.Siegmund

Dissertation: Score Statistics to Map Genes in Humans (September, 2004)

    1996.9-2000.7         Peking University

BS in Mathematics

Graduate Thesis: Surfaces of Constant Negative Curvature and Backlund Transformation (March, 2000)

 

Current Research Interests

statistical genetics/genomics, linkage analysis, variance-component models, admixture models, boundary crossing problems, population genetics

 

Employment

2004.9-present           Assistant Professor, Department of Statistics, University of California, Davis

2003.6-2003.9             Summer Internship, Fred Hutchinson Cancer Research Center, Seattle, Washington

 

Awards and Honors

2004.6                                   Teaching Award for Outstanding Service as a Teaching Assistant

2000-2003             Stanford Graduate Fellowship

The Stanford Graduate Fellowships Program in Science and Engineering annually awards 110 three-year fellowships providing tuition support and stipend to outstanding students pursuing a doctoral degree in the sciences and engineering.

 

Publications

Peng, J. and Siegmund, D.(2006). Mapping Quantitative Traits under Ascertainment, accepted for publication by Ann. Hum. Genet. [pdf]

Peng, J., Tang, H-K. and Siegmund, D.(2005). Genome Scans with Gene-Covariate Interaction, Genet. Epidemiol. 29: 173-184  [pdf]

Tang, H., Peng, J., Wang, P. and and Risch, N.(2005). Estimation of Individual Admixture: Analytical and Study Design Considerations, Genet. Epidemiol 28: 289-301 [pdf]

Peng, J. and Siegmund, D.(2005). The Admixture Model in Linkage Analysis, J. Statist. Planning and Inference, Volume 130, Issues 1-2, 317-324. [pdf]

   Peng, J. and Siegmund, D.(2004). Mapping Quantitative Traits with Random and with Ascertained Sibships, Proc. Natl. Acad. Sci. USA 101, 7845-7850. [pdf]

 

Papers in Preparation

Peng, J., Tang, H-K. and Siegmund, D.(2005). Information Content of Multipoint Analysis and Efficiency of Two-Stage Genotyping, in preparation.

 

Presentations

   Aug 7, 2005         Genome Scan with Gene-Covariate Interaction (JSM, contributed talk) [pdf]

   Jul. 9, 2005         QTL Mapping under Ascertainment (CSPS/IMS, contributed talk) [pdf]

   Jun. 22, 2005         Microsatellites and SNPs: Study of Threshold and Power (WNAR, contributed talk) [pdf]

   May 2, 2003        Single Locus QTL model with Ascertainment (Industrial Affiliates Conference, talk) [ps]

   Nov. 5, 2003        Ascertainment Corrections in Variance-Component Model (ASHG annual meeting, poster) [ps]

   Nov. 6, 2003        Information Content of Multipoint Analysis and Efficiency of Two-Stage Genotyping (ASHG annual meeting, poster) [ps]

 

Teaching

As instructor: Stat120 (Probability for Engineers, winter 2005; fall 2005); Stat100 (Applied Statistics for Biological Science, spring 2005); Stat130a (Brief Mathematical Statistics, fall 2005)

As teaching assistant (2000-2004, Stanford): provide assistance for undergraduate and graduate level courses in statistics, probability and computational biology. Teach classes, hold TA sessions and office hours, prepare and grade homework, exams and term projects, write solutions and help students with computing problems.

 

Consulting

   2000-2004         Provide advice and interpret results on statistical problems to members of the Stanford community in areas such as estimation, testing hypothesis, model fitting, functional data analysis, classification, prediction, sequential analysis, etc.

 

Computing Skills

Proficient in C, FORTRAN, S-plus, Matlab, SAS and Perl.