Summary: I am a Marie Skłodowska-Curie research fellow researching prognostic and predictive biomarkers for melanoma outcome and response to treatment.
Location: Cancer Genetics Building
The first aim of my PhD project is to improve statistical and bioinformatics analyses of genomic/transcriptomic data for biomarker development. The second is to use transcriptomics to understand the biology of interaction between the host and the tumour, especially with respect to immunological responses. A third aim is to derive the simplest possible biomarker (based on the fewest genes) without loss of performance. This could have both practical utility and aid in understanding the underlying biological processes. My ultimate aim is to develop a robust methodology for classifying tumours according to expected outcome and the creation of one or more predictive biomarkers for melanoma tumour behaviour.
My interest in applying mathematical concepts to understanding biological pathways and expression networks grew while pursuing an undergraduate course in Bioinformatics at VIT University, India. I have also acquired knowledge of relevant biochemical concepts at Alpha Net Technologies (India), IISER Pune (India) and EMBL-EBI (UK).
*Funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 641458.