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Gincy has recently completed her PhD and helps coordinate data management, analysis and linkage of immuno-oncology data under the supervision of Dr Mieke Van Hemelrijck and Proferssor Ton Coolen. The work involves recently published mathematical theory of overfitting in regression models for time-to-event cancer data. It was designed to predict the overfitting-induced deviations between true and reported regression parameters in multivariate Cox analysis, and correct these parameters for overfitting effects.This enables reliable extraction of individualised predictive patterns from cancer data with much larger dimensions and increased accuracy, compared to what is feasible with standard tools. Gincy will apply the new method to epidemiological data collected on lymphoid stress surveillance to predict progression of prostate cancer. It will therefore help evaluate heterogeneity in the capacity to monitor and eradicate malignant cells and/or their progenitors that may predict disease outcome and/or treatment response.