• Created new approach for transcriptome analysis crucial in identifying repeat specific transcripts• Developed new strategy essential in identifying homologous region and allele specific interactions.• Developed pipeline useful in studying repeat specific methylations.• Designed integrative approach to use ChIP-seq, RNAseq and CAGE data that helped in critical understanding of the landscape of the cells.• Analytical and scientific research article writing.• Provided key suggestions and inputs during discussions with collaborators and wet lab team that helped in better designing of the experiment• Successfully mentored graduate and undergraduate students, who went on to receive great appreciation and grade for their thesis work.

• Created a novel approach “GeneCNV” for studying copy number variation from targeted re-sequencing data that was instrumental in identifying the genes and pathways critical in liver cancers.• Developed pipeline for identification of structural variations from whole genome sequencing, which was helped in identifying chromothripsis events in liver cancer.• Provided comprehensive analysis on structural and copy number variation from targeted re-sequencing, exome sequencing, whole genome re-sequencing. Taqman copy number and SNP array critical for understanding cancer genome.• Helped create the database for network of cancer genes. (NCG)• Scientific research article writing.

Leading a team of bioinformaticians in Microarray infromatics. Developed several In-house applications for designing microarray, sequence and data analysis, including next generation sequencing data. Involved in continual improvement in the microarray designing SOPs and applications. Training to team and non team members on the aspects of microarray designing.

Involved in development and improvement of existing SOPs and applications for microarray designing. Designing microarrays for all applications, sequence annotations.

Involved in microarray designing for all applications. Providing bioinformatics solutions to the scientists in the organizations. Sequence annotations. Data integration and collection from various sources.

Developing and implementing new algorithm for clustering co-expressed genes in microarray data. The algorithm also selects the candidate genes for the experiments. Training students and peers on Discovery Studio.