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About me
Malvika is a PhD candidate in computational oncology at Adelaide University (Australia), where she develops statistical and computational methods to analyse complex biomedical data. Her research focuses on using large scale clinical and spatial imaging datasets to better understand how diseases such as cancer develop and progress. She is currently developing `bgnorm`, a statistical framework that uses probabilistic modelling to separate true biological signal from background noise in high dimensional protein imaging data. Her work aims to improve the reliability and interpretability of modern biomedical datasets where thousands to millions of measurements are collected across tissue samples.