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About me

I am a Clinical Genomics professional and I work as Bioinformatician in Prostate cancer genomics group at MEB here in Karolinska Institute.

My research interests include employing ML and AI tools for mining and integrating x-omics data to get better insight into high penetrance cancers. I focus on cancer transcriptomics and my current work revolves around integration of cancer transcriptome profiles with mutation profiles.

When I am not at my workstation, I read and teach Tamil Literature. Tamil is one of the longest-surviving classical languages in the world alongside Greek, Latin and Ancient Chinese (http://www.shh.mpg.de/870797/dravidian-languages). 

 

Education

2006 - Bachelor of Veterinary Sciences & Animal Husbandry, Pondicherry, India

2010 - Master of Science in Biosystems & Informatics, Liverpool, UK

 

Research description

At KI, I work in Johan Lindberg's group on translational projects that involve genomics at the interface of clinical research and laboratory tests to diagnose and optimize treatment options for cancers.

I develop NGS pipelines to identify deleterious structural variants and SNVs in targeted circulating tumour DNA-based liquid biopsy profiles of prostate cancer. 

I collaborate with bioinformaticians at Scilifelab across the road for improving the pipelines for clinical grade reports and user-friendliness. I am an active contributor to the Bioinformatics OSS community.

Tags: cancer genome interpretation, clinical genomics, targeted resequencing, NGS data analysis, prostate cancer, PIK3CA, PTEN, genome informatics, ML for genomics, AI for genomics, nextflow for genomics, cancer transcriptome, liquid biopsy

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