Research / Clinical
Summary
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Sonia Jain, PhD
Assistant Professor, Family & Preventive Medicine
Cancer Prevention & Control Program
Contact by Email
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Diseases/Research Topics
Bayesian Statistics, Bioinformatics, Biostatistics, Genomics
Dr. Sonia Jain conducts methodological research in Biostatistics and Bioinformatics. She develops nonparametric Bayesian models and Markov chain Monte Carlo techniques for the analysis of high-dimensional data, as observed in the analysis of gene expression data obtained from DNA microarray experiments.
In particular, Dr. Jain is interested in Bayesian mixture models and the flexibility they provide in modeling complex data structures.
Dr. Jain's areas of expertise are: 1) Analysis of high-dimensional genomic data, e.g. microarray data; 2) Application of Bayesian methodology in Biostatistics; 3) Development of Markov chain Monte Carlo algorithms; 4) Model-based alternatives to exploratory statistical analysis.
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