Cancer Data Science Laboratory
Principal Investigator: Giulio Caravagna
The Cancer Data Science (CDS) Lab develops computational technologies for bulk and single-cell cancer data analysis, which we use to study tumours as an evolutionary process.
We are primarily interested in theoretical and applied Data Science for Computational Oncology and Bioinformatics. Among our contributions there are model-based tools to measure clonal evolution from high-throughput sequencing data.
October 2021: Alice will join us for the University of Trieste PhD program in Applied Data Science & Artificial Intelligence.
July 2021: Giulio will be presenting at the Machine Learning in Computational and Systems Biology track of ISMB/ECCB 2021.
May 2021: Nicola joined us as postdoctoral fellow on Artificial Intelligence for clonal evolution under therapy.
May 2021: Giulio will be lecturing at the Como School on Cancer Development Complexity;
Feb 2021: a new preprint is available on integrated quality control of somatic cancer calls
Jan 2021: a new preprint is available to genotype copy number alterations from single-cell RNA sequencing data.
Jan 2021: we have been awarded a competitive MFAG AIRC grant to study clonal evolution under therapy!
Dec 2020: Riccardo joined the lab as postdoctoral fellow on mathematical modelling for evolutionary processes.