Purdue University (2005)
MSc, Mathematical Statistics
Purdue University (2001)
MSc, Econometrics and Statistics
University of Geneva (1997)
BSc, Econometrics and Statistics
University of Geneva (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.
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.
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.
Jan Vitek and Olga Vitek, SI2-SSE: A Traccing Virtual Machine for Statistical Computing,
National Science Foundation, 9/15/2010-8/31/2013.