Welcome to the Risso Lab
We develop, implement and apply statistical models to high-throughput biomedical data, with a current focus on single-cell and spatial transcriptomics.
We are located at the Department of Statistical Sciences of the University of Padova, Italy, and led by Prof. Davide Risso.
We work at the intersection of statistics, bioinformatics and computational biology, with a strong emphasis on reproducible research and open-source software development. Our projects span from methodological research to applied data analysis in collaboration with experimental biologists and a large network of international collaborators.
Current funded projects include the ERC Consolidator Grant SPECOLA and the CZI EOSS Grant GPU-accelerated Computing in Bioconductor.
Statistical Methods for Biomedical Data
We work at the intersection of statistics, bioinformatics and computational biology, with a strong emphasis on reproducible research and open-source software development.
- Statistical and computational methods for emerging high-throughput technologies
- Quality control, normalization, inference, visualization and interpretation
- Applications in single-cell and spatial omics
Open-Source Software
We implement scalable, user-friendly software packages that make our methods accessible to the scientific community.
- Active engagement with the Bioconductor community
- Packages for single-cell, spatial and bulk sequencing analysis
- Reproducible workflows and documented research software
Collaborative Biological Discovery
Our projects span methodological research and applied data analysis in collaboration with experimental biologists and international partners.
- Developmental biology, neuroscience and cancer biology
- ERC Consolidator Grant SPECOLA
- CZI EOSS Grant GPU-accelerated Computing in Bioconductor