David R. Bickel, PhD
Associate Professor

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As the PI of the Statomics Lab, David Bickel develops statistical and computational methods for the analysis and interpretation of genomic information, including SNP data from genome-wide association studies and microarray gene expression measurements. Research and software

Zahra Montazeri, PhD
Programmer/Analyst

Zahra Montazeri’s dissertation research involved (a) statistical methods in classification and discriminant analysis with particular attention to: classification with missing covariates (complex data), (b) missing data and imputation, with particular applications to nonparametric curve estimation (regression and density curves), (c) computer-intensive inference, in particular bootstrap methods.

Future Statomics members
Open positions in statistical and computational genomics

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