Education
PhD, Purdue University, Statistics (2005)
MSc, Purdue University, Mathematical Statistics (2001)
MSc, University of Geneva, Econometrics and Statistics (1997)
BSc, University of Geneva, Econometrics and Statistics (1995)
Olga Vitek's research interests are in statistical and
computational methods for high-dimensional molecular
biology, in particular for mass spectrometry-based
proteomics. Methodological aspects of her work include
Bayesian modeling, statistical computing, and experimental
design. Before joining the Purdue faculty, she was a
post-doctoral fellow in the Aebersold Lab at the Institute
for Systems Biology in Seattle.
Selected Publications
D. Yu, J. Danku, I. Baxter, S. Kim, O. K. Vatamaniuk, D. E.
Salt, O. Vitek., "Noise reduction in genome-wide perturbation screens using
linear mixed-effect models", Bioinformatics, 27, p. 2173-2180, 2011
T. Clough, S. Braun, V. Fokin, I. Ott, S. Ragg, G. Schadow,
O. Vitek, "Statistical design and analysis of label-free LC-MS
proteomic experiments: A case study of coronary artery
disease", Methods in Molecular Biology, 728, p.293-319, 2011
C. Zheng, S. Zhang, S. Ragg, D. Raftery, O. Vitek, "Identification and quantification of metabolites in 1H NMR
spectra by Bayesian model selection", Bioinformatics, 27, p. 1637-1644, 2011