I have over ten year’s successful and consistent track record in the field of bioinformatics (biostatistics). I develop statistical methods, and algorithms for high-dimensional data analysis problems. I am currently working on a comprehensive framework to carry out statistical inference on high-dimensional data consisting of count and continuous measurements that are influenced by both known and unknown sources of variation. Most of bioinformatics research is directly motivated by and applied to problems in cancer genomics and high-throughput quantitative biology. Examples include studies involving genome sequences of individuals from genome-wide gene expression profiling measurements from next generation sequencing, and complex clinical genomics studies.

Research Interest:

• • Statistical analysis of multi-drug resistance in human cancer cell lines

  • Statistical analysis of multi-omics data (TCGA etc)

  • Statistical analysis of the microarray experiment

  • Statistical analysis of the CNV experiment

  • Statistical analysis of the Metamolomics(LC/MS, NMR) experiment

  • Statistical analysis of the Chip-seq experiment

  • Statistical analysis of the RNA-seq experiment

RAN-aCGH : R GUI Tools for Analysis and Visualization of an Array-CGH Experiment

STAS-seq: Statistical Analysis Suite for RNA-seq data

COEX-seq: COnvert a variety of measurements of gene EXpression in RNA-seq

Data Sets