What we do

The Computational Systems Oncology lab integrates algorithmic design, numerical modelling, and molecular biology approaches to address relevant questions in cancer biology and therapeutics. We explore single and combinations of genetic and epigenetic alterations that emerge and are selected during cancer evolution, to understand cancer driving mechanisms and inform precision medicine approaches.

Find out more about the Group’s activities

Main publications 2020

  • Mina M et al.
    Discovering functional evolutionary dependencies in human cancers
    Nature genetics, 10.1038/s41591-020-0789-4
  • Dheilly E et al.
    Cathepsin S Regulates Antigen Processing and T Cell Activity in Non-Hodgkin Lymphoma
    Cancer Cell, 10.1016/j.ccell.2020.03.016



Giovanni Ciriello
Computational Systems Oncology
University of Lausanne
Group Webpage


Domain(s) of activity:

  • Systems biology
  • Biostatistics
  • Epigenetics
  • Evolutionary biology
  • Mathematical modelling
  • Oncology
  • Personalised medicine

Domain(s) of application:

  • Basic research
  • Medicine and health