The Computational Systems Oncology lab integrates algorithmic design, numerical modeling, and molecular biology approaches to address relevant questions in cancer biology and therapeutics.

Our group is embedded within the Department of Computational Biology of the University of Lausanne and a member of the Swiss Institute of Bioinformatics and the Swiss Cancer Center Lausanne.

We're currently looking for a Post-doc to join our team!
Read more about it here.

Genomic Dependencies

Cancer emerges through the occurrence and selection of molecular alterations. A main goal in our group is to understand if and how alterations present in a cancer cell favor or veto the selection of specific new ones, thus generating non-random patterns of occurrence across tumor populations.

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Actionable Cancer Genetics & Epigenetics

Selected genetic and epigenetic modifications in cancer represent implementations of oncogenic mechanisms and actionable targets for precision treatments. We dissect large-scale genomic datasets to nominate selected events and identify oncogenic signatures informing the design of combination therapies.

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Cancer Evolution

Tumor evolution is typically modeled according to Darwinian principles. By integrating human data with simple models of cancer evolutions, we aim at exploring which features associate and drive tumor intrinsic heterogeneity and to what extent this can be predicted.

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Chromatin Architecture

DNA 3D structures have recently become accessible through Hi-chromatin conformation capture techniques (Hi-C). Our group has become interested in this approach to explore how cancer alterations and gene regulation depend and/or affect the chromatin structure.

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Currently open positions:

  • Post-doc position.
    We currently welcome applications for a Post-doc position in cancer genomics.

    A Ph.D. in computer science or related field is preferred, but applicants with a Ph.D in Life Sciences are also welcomed to apply, provided they can demonstrate previous experience in computational biology and/or analysis of large scale molecular data.
    At least one first/main author publication in a peer-reviewed journal is required.

    When: The positions is expected to start not sooner than July 1st, 2017.
    To: Applications should be sent to giovanni.ciriello@unil.ch.
    What: Applications will include a cover letter, CV, list of publications, and the names of at least three references.

    You can browse this website to learn more about research in our group, and how we pursue our goals in close collaboration with both computational and experimental biologists and clinicians.

  • We welcome Master students for both their First-step and Master projects.
    You can browse available projects through the official portal of UNIL, and/or directly contact us to learn more about our work.