THE STATOMICISTS
Zahra Montazeri, PhD
Postdoctoral fellow
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.
Corey Yanofsky, MSc
Statistical researcher
Yui Zhu
Former volunteer programmer
Pei-Chun Hsieh, BSc
Former visiting student researcher
Pei-Chun Hsieh’s research involves (a) microarray data preprocessing using the R language, (b) statistical prediction of regulating genes in yeast and bacteria, and (c) hypothesizing yeast and bacteria gene networks from the model predictions.
David R. Bickel, PhD
Associate Professor
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
Future Statomics members
Open positions in statistical and computational genomics
