I am a Clinical Genomics scientist 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 building pipelines for analysis of liquid biosy data from prostate cancers and 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).
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. Along with the bioinformaticians in my group, I maintain the Autoseq Informatics framework for analysis of cancer NGS data.
I develop NGS pipelines to identify significant structural variants and SNVs in targeted cell-free & circulating-tumour DNA-based liquid biopsy samples from 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
2006 - Bachelor of Veterinary Sciences & Animal Husbandry, Pondicherry, India
2010 - Master of Science in Biosystems & Informatics, Liverpool, UK