Members

Farnoosh Babazadeh

Ph.D. student

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Farnoosh Babazadeh’s research interests include empirical Bayes methods to estimate the local false discovery rate with applications to analyzing genomics data.

Marta Padilla, PhD
Postdoctoral fellow
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Marta Padilla’s current research interests  include the study of techniques to estimate the local false discovery rates on medium-scale data sets.
 
Zhenyu Yang, PhD
Postdoctoral fellow
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Zhenyu Yang’s research interests focus on developing and testing general-likelihood-law and confidence-measure methods of statistical inference; creating, improving, and documenting reliable software to implement such methods for application to the analysis of  data.
 
Zuojing Li
Volunteer visiting student researcher
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Zuojing Li ’s  research interests focus on the study of techniques for classification and its prediction on medium-scale data.
 

Corey Yanofsky, PhD
Volunteer researcher

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Corey Yanofsky’s research focuses on the application of Bayesian, empirical Bayes, and likelihood methods to large scale data sets in microarray studies, proteomics, lipidomics, and genome-wide association analyses.

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

Alumni

Ye Yang, PhD
Former postdoctoral fellow

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Ye Yang’s research interests include Bayesian analysis and Markov chain Monte Carlo (MCMC) methods, analyses of linear and non-linear mixed models with variance heterogeneity, variable selection methods, mixture models, multiple statistical testing issues, and analyses of high-dimensional genomic data.

Tasneem Zaihra, PhD
Former postdoctoral fellow

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Tasneem Zaihra’s area of interest is analysis of overdispersed proportions and counts.

In the case of over dispersed proportions, she works on interval estimation of epidemiological indices such as risk difference, risk ratio, relative risks etc, that are often used to report clinical findings and play an important role in epidemiological investigations.

In the case of over dispersed counts, that arise in diverse fields, including biostatistics, radioimmunoassay, pharmacokinetics modeling, enzyme kinetics, quality control etc, her study involves variance function estimation for semi-parametric analysis of count data.

She spent a summer collaborating with the Bickel lab in research on bootstrap estimation of confidence intervals for microarray data.

Zahra Montazeri, PhD
Former postdoctoral fellow

Zahra Montazeri’s 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.

Zhengmin Zhang, PhD
Former postdoctoral fellow

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Zhengmin Zhang’s Ph.D thesis research focused on estimation in mixture models, in particular (a) the identifiability of the model, (b) the geometric method in maximum likelihood estimation and (c) the method of moments in the construction of consistent estimates of mixing distributions. Her current research focuses on  methods of estimation for large-scale-statistics. Her other interests are in the theory of characteristic functions, information theory and limit theory.

Yui Zhu
Former volunteer programmer

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Pei-Chun Hsieh, BSc
Former visiting student researcher

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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.

Group pictures


The Statomicists in 2011

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The Statomicists in 2010

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The Statomicists in 2008

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Future Statomics members

Open positions in statistical and computational genomics

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