Current Research Interests:

Dr. Olshen's research interests lie in the fields of statistical genomics and bioinformatics. He is particularly interested in examining DNA copy number data derived from microarrays. Specifically, he is working on new methods for analyzing allele-specific copy number data, identifying copy number variants, and testing whether paired samples are clonal. Other research interests include methods for hypothesis testing when the tests are highly correlated and methods for improved risk estimation. Dr. Olshen also collaborates on a number of interesting studies. He is involved in program projects in breast cancer, pediatrics, and sarcoma. He is also part of the Sloan-Kettering team that analyzes DNA copy number data for The Cancer Genome Atlas. Finally, he is working with Dr. Paul Tempst in a multi-center study of the reproducibility of serum proteomic data.

Selected Bibliography:

1. Olshen AB, O'Sullivan F. Camouflaged Deconvolution with application to blood curve modeling in FDG PET studies. Journal of the American Statistical Association 1997; 92:1293-1303.

2. Olshen AB, Jain AN. Deriving quantitative conclusions from microaaay expression data. Bioinformatics 2002;18:961-970.

3. Lucito R, Healy J, Alexander J, Reiner A, Espositio D, Chi M, Rodgers L, Brady A, Sebat J, Troge J, West JA, Rostan S, Nguyen KC, Powers S, Ye KQ, Olshen AB, Venkatraman E, Norton L, Wigler M. Representational oligonucleotide microarray analysis: a high resolution method to detect genome copy number variation. Genome Research 2003;13:2291-2305.

4. Olshen AB, Venkatraman ES, Lucito R, Wigler M. Circular binary segmentation for the analysis of array-based DNA copy number data. Biostatistics 2004; 4:557-572.

5. Olshen AB, Cosman PC, Rodrigo AG, Bickel PJ, Olshen RA. Vector quantization of amino acids: Analysis of the HIV V3 loop region. Journal of Statistical Planning and Inference 2005; 130:277-298.