Welcome to the Pancaldi Lab
Our lab studies the relationship between patients and its tumor microenvironment, focusing on decoding how the immune system and the cancer cells interact and affect treatment outcomes and learning how to improve and control them via computational approaches.
Research themes
- Network theory
- Systems biology
- Epigenomics
- Spatial, bulk & single-cell transcriptomics
- Genome architecture
- Mathematical modeling
- Multiscale modeling
- Reinforcement learning
Recent publications
Precision targeting of human M2 macrophages by magnetic nanoparticles functionalized with an in-house antibody
International Journal of Nanomedicine·Aug 2026·doi:10.2147/IJN.S619574
CellTFusion: a transcriptional regulatory network framework for the identification of functional multicellular states from bulk RNA-seq data
bioRxiv·05 Jul 2026·doi:10.64898/2026.06.30.735682Preprint
Mosna reveals different types of cellular interactions predictive of response to immunotherapies and survival in cancer
Molecular & Cellular Proteomics·May 2026·doi:10.1016/j.mcpro.2026.101536
The team
Led by Vera Pancaldi, the lab brings together computational biologists, modellers and experimental biologists.
Meet the team


















