Kim-Anh Do, Ph.D.

Ph.D. (Statistics, Stanford)
B.Sc. (First class honours, Mathematics, University of Queensland)
B.Sc. ( Maths & Computer Science, University of Queensland)

Professor,
Department of Biostatistics, MD Anderson Cancer Center.

Faculty Member at the University of Texas Graduate School of Biomedical Sciences at Houston.
Adjunct Professor,
Department of Statistics, Rice University.
Department of Statistics, Texas A&M University.

 

Areas of Interest

  • Computational Statistics and Biostatistics
  • Bioinformatics
  • Statistical Genetics
  • Non-parametric statistical methods

Awards and Honors

  • Fellow, American Statistical Association, since 2006
  • Fellow, Royal Statistical Society, since 2005
  • M.D. Anderson Cancer Center Faculty Scholar Award, 2003-2005
  • President-elect, Houston Chapter of the American Statistical Association, 2002-2003
  • President, Houston Chapter of the American Statistical Association, 2003-2004
  • Australian Academy of Science Travel Award, 1994
  • Amy R. Hughes Award (Australian Federation of University Women), 1983
  • Caltex Woman Graduate of the Year Award, 1983-1985

Statistical consulting

By appointment only. Please contact me via email/phone/fax.

 Research Papers

 Grants since 2000

Books

         G.J. McLachlan, K.-A. Do, and C. Ambroise (2004) Analyzing microarray gene expression data (with G.J.McLachlan and C. Ambroise).

Analyzing Microarray Gene Expression Data, Hobokin, New Jersey: Wiley

         Do, K.A., Mueller, P. and Vannucci, M. (2006). Bayesian Inference for Gene Expression and Proteomics. Edited Volume. Cambridge University Press.
Editorial reviews: Briefings in Bioinformatics, Biometrics, JASA, JRSS, Series A

         Do, K.A., Qin, Z. and Vannucci, M. (2012). Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data. Edited Volume. Cambridge University Press (in progress).

Teaching at MDACC

1. Cancer Biology Course

2. Introduction to Mathematical Statistics (GSBS Course GS01 0113)

3. Advanced Statistical Methods for the Analysis of Gene Expression and Proteomics Course

Software

Clustering of gene expression microarrays

Mass Spectrometry Proteomics

Languages

  • English, Vietnamese: fluent
  • French: fair knowledge
  • Spanish, Portuguese, Italian, German, Hindi: beginner

 Personal Home Page

Last Modified: November 2011