I did my PhD in the field of Cancer Computational Medicine employing NGS tools(publicly available) or ad-hoc development and analyzing them. Mostly I did bench-marking of tools till I find the best fit for the heterogeneous cancer data. I worked on integrating multi omics data and briefly ventured in field of single cell which is pretty interesting to me as of now (still working on it as per requirement in the industry).

Battling with two of my worst fears Biology and Computer Science to give life a better meaning. My first fear made me push to get the PhD and my second help me learn to solve problems amassing big-data, in an unbiased data-driven way, thus letting me earn my PhD. Now I want to drive the improvements in the field of healthcare bridging both Biology and Computer Science. I enjoy the interdisciplinary terms Bioinformatics or Computational Biology, but in heart  and mind, I am a Systems Biologist who loves learning data-shapes, distributions , what it provides as features and these can help formulate better biological queries and also address apriori queries or new ones. The challenge in life science and technology drives me and so I am pursuing the research field.

Everyday is a new learning and knowledge is never ending.

Biostars helped me learn all along and now with my experience and learning am happy to help others. 

Creating automated pipeline/workflow scripts for easy usage of different seq technologies. I am passionate about integration of multi-omics data in varied therapeutic areas involving human patients data-sets and leveraging the power of pre-clinical animal models together for target discovery. 

I am interested in Precision and Personalized Medicine and would like to use my skills in the same with translational NGS technologies for addressing problems related to diseases. Currently working in industry in Biomarkers & Target Discovery employing Integrative Computational Systems Medicine approach.