September 2026
A guide to understanding tumour evolution through population genetics
Our new review in Nature Reviews Cancer explains how population genetics helps us read the evolutionary history recorded in a tumour's genome.
Cancer Data Science Laboratory · University of Trieste
Cancer is not a static disease. Our laboratory studies how tumours develop, adapt and respond to treatment, creating new ways to interpret complex biomedical data.
COMPUTATIONAL ONCOLOGY
Methods designed around real biological and clinical problems.
INTERDISCIPLINARY BY DESIGN
Computer science, statistics, physics, biology and medicine.
OPEN RESEARCH
Reproducible software, data and collaborative science.
Our research is made possible by the generous support of several institutions.
September 2026
Our new review in Nature Reviews Cancer explains how population genetics helps us read the evolutionary history recorded in a tumour's genome.
July 2026
Our study in Nature Genetics introduces INCOMMON and links gene mutant dosage to prognosis and metastatic spread across 60,000 cancer samples.
June 2026
DEVIL is out at Nature Communications — perform single-cell differential gene expression from millions of cells and multiple patients!
June 2026
A new framework connects evolutionary reconstruction with validation of cancer whole-genome sequencing.
2025–2026
The project develops artificial-intelligence methods to connect clonal evolution, phenotype and treatment response.
Work with us
We welcome enquiries from prospective PhD students, postdoctoral researchers, thesis students and collaborators.