Lavanya is part of the CanFaster doctoral program, part of the European Union’s Marie Skłodowska-Curie COFUND programme, which aims to promote applied medical research with triple helix collaboration between academia, healthcare and the industry. She holds a BS-MS dual degree from Indian Institute of Science Education and Research (IISER) Pune, India and is currently a final year PhD fellow at the Department of Immunotechnology, Lund University.
Her work is centered around application of newly developed omics-based technologies based on serum proteomics and tissue-based spatial proteomics and transcriptomics, for biological exploration of Mantle Cell lymphoma (MCL), a rare and aggressive B-cell cancer subtype. Her research involves developing bioinformatic pipelines based on machine learning algorithms to identify patterns in the datasets which are correlated to clinicopathology and outcome. The final aim is to develop better patient risk stratification models and prognostic biomarker signatures.