mackelab

Machine learning for scientific understanding.

We develop machine learning methods to power AI for science — methods that turn complex data into scientific understanding. Our flagship application area is neuroscience: we build data-driven mechanistic models of how brain networks process information and generate intelligent behaviour.

Working in close collaboration with experimental and computational researchers, we tackle tough scientific problems in the physical and life sciences.