Computational Infection Biology

Computational Infection Biology

A depiction of a mouse spleen using colorful dots marking different kinds of cells
interface of Scampi (Single Cell Analysis Methods Presented Interactively). Different menus and a colourful visualisation
Four colorful network visualizations in two rows; chaotic links on top, clearer clusters with distinct colors on the bottom.
A group of people poses outdoors on a rainy day, some holding umbrellas and wearing rain jackets, with trees and greenery in the background.

Overview

We build data-driven methods to decode host–pathogen interactions and pathogen evolution, integrating genome sequencing with single-cell, spatial omics, imaging data and clinical data. Our team develops robust, shareable pipelines, machine-learning models, and resources for the collaborators and the community. We collaborate widely, especially with partners in Africa, and are committed to open, reproducible science and training. Current projects span malaria and infectious diseases, linking microenvironments to immune responses and therapeutic opportunities.

Computational Infection Biology