• Statistical Modelling of TCR Repertoires for Immunotherapy and Drug Delievery Systems

    The aim of this project is disassembling mechanisms of immune system-tumour interaction, in particular to track and understand epitope spreading by means of high throughput sequencing and statistical modelling of T-cell receptor repertoires.

    • Neoepitope Prediction

    • Combining Deep Learning and Immunology to create a Neoepitope predictor for improving immunotherapy.