• Research Fellow, Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health , USA

• Statistics in Epidemiology Young Investigator Award (Joint Statistical Meetings, 2010).

• Genetic association, Gene-Gene and Gene-Environment interactions using family or case-control data.
• Meta-analysis of omics studies.
• Pathway analysis: omnibus and interaction tests.
• Gene-Set and other Enrichment Analyses.
• Complex traits and complex environmental exposures.
• Multiple Testing Issues and Exploratory Data Analysis.

• Subset-based meta-analysis in presence of heterogeneity
• Generalized conditional and unconditional score tests for family-based association
• Pathway analysis of one-carbon pathway in pancreatic cancer
• Analysis of GWAS data on cancers

• CGEN (Case-Control Genetics): Development of R package CGEN implementing various methods for analysis of case-control data in genetic epidemiology studies. (http://www.bioconductor.org/help/bioc-views/release/bioc/html/CGEN.html).
• Methods for detecting Gene-Gene interactions in a GWAS in presence of population stratification: Development of robust and powerful methods and comparison with existing methods for detecting gene-gene interactions in genome-wide association studies in presence of hidden population substructure.
• Score statistics for QTL association analysis: Development of conditional score statistics for association analysis of quantitative traits in families and comparison with existing family-based association methods. (With Dr. Eleanor Feingold, Univ. of Pittsburgh ).
• QTL-ALL: QTL Analysis and Linkage Library: Development of user friendly software for QTL mapping statistics .
• Robust score statistics for QTL linkage analysis: Development of robust score statistic variants for linkage analysis and simulation study of existing and novel variants.
• Optimal pedigree weights for NPL statistics: Choice of optimal pedigree weights for non-parametric linkage statistics and comparison of standard weighting schemes
• Reverse Regression approach for mapping Multivariate Phenotypes: A novel approach for multivariate QTL linkage analysis for sibship data and application to linkage mapping of GAW 14 data on Kofendrerd Personality Disorder.