CARAVAGNA LAB
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Caravagna Lab

Cancer Data Science Laboratory · University of Trieste

We use data and artificial intelligence to understand how cancer changes.

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.

Explore our research Join the lab

Get in touch

Who would you like to contact?

WHOLE LABORATORY Email the Cancer Data Science Laboratory cdslab@units.onmicrosoft.com PRINCIPAL INVESTIGATOR Email Giulio Caravagna gcaravagna@units.it PRINCIPAL INVESTIGATOR Book a meeting with Giulio Open the Reclaim booking page ↗

Visit the laboratory

Find us in Trieste.

Cancer Data Science Laboratory
Department of Mathematics, Informatics and Geosciences
University of Trieste
Via D. Economo 12/3, 34123 Trieste, Italy

Open directions in Google Maps ↗

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.

Funded by

Our research is made possible by the generous support of several institutions.

Fondazione AIRC per la ricerca sul cancro Ministero dell'Università e della Ricerca Funded by the European Union – NextGenerationEU

News from the lab

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.

Illustrated tumour evolution tree connecting cells, sequencing data and models

July 2026

INCOMMON reveals the importance of gene mutant dosage

Our study in Nature Genetics introduces INCOMMON and links gene mutant dosage to prognosis and metastatic spread across 60,000 cancer samples.

Illustration of cancer sequencing data flowing into computational models

June 2026

Scalable, fast and accurate single-cell differential gene expression

DEVIL is out at Nature Communications — perform single-cell differential gene expression from millions of cells and multiple patients!

Evolutionary tree, sequencing data and computational outputs

June 2026

Tumour evolution as ground truth for cancer whole-genome sequencing

A new framework connects evolutionary reconstruction with validation of cancer whole-genome sequencing.

Evolutionary tree, sequencing data and computational outputs

2025–2026

AIRC BRIDGE supports our work on therapy resistance

The project develops artificial-intelligence methods to connect clonal evolution, phenotype and treatment response.

Tumour clones evolving under treatment

Work with us

Bring your perspective to cancer data science.

We welcome enquiries from prospective PhD students, postdoctoral researchers, thesis students and collaborators.

See opportunities

Cancer Data Science Laboratory
Computational oncology · Cancer evolution · Machine learning

Department of Mathematics, Informatics and Geosciences
Via D. Economo 12/3 · 34123 Trieste · Italy

University of Trieste