Neural Data Science and Statistical Computing
Our mission is to support data analysis covering questions about experimental design, statistical models, image analysis or machine learning. We also provide support for visualising data from quantitative charts to scientific figure design or interactive 3D visualisations.
Experimental techniques such as high-resolution, multi-contrast MRI, fMRI, light-sheet microscopy, or single-cell sequencing provide unprecedented, unique insights into life's inner workings across scales. However, these methods also yield large amounts of data with complex structure and dependencies that are often impossible to analyse manually. Our research focuses on computational approaches to visualise, explore, and quantify the manifolds of neural data. We aim to advance our conceptual understanding of the complex structures within biomedical data and extend the range of computational tools in scientific and clinical practice.