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bioinformatics, computational biology, cancer, disease models, pharmacogenomics, integrative omics, biomarkers, genomics, transcriptomics


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Personal profile

Research interests

My research program centers on translational bioinformatics and integrative approaches towards characterization of pre-clinical disease models and their application in personalized therapy. One of my research axes focuses on elucidating the molecular pathogenesis of in vitro and in vivo pre-clinical disease models (xenografts, organoids, GEMMs), and developing reliable and quantifiable frameworks for matching model systems to their human counterparts. This a novel area that remains largely unaddressed in the clinical and experimental settings, despite its importance in expediting preclinical testing. In tandem, I am also focused on developing translational approaches that harness these disease models for therapeutics. Both axes bridge the disciplines of transcriptomics, pharmacogenomics, and structural bioinformatics, with the aim of providing new avenues for rapid testing and selection of disease-specific drugs in personalized clinical applications.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Doctor of Philosophy, Bioinformatic sequence and structural analysis for amyloidogenicity in prions and other proteins, McGill University

Award Date: 31 Oct 2012


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Collaborations and top research areas from the last five years

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