We accommodate research activity on fundamental mathematical problems and methodology for understanding, analyzing, processing and simulating data

Do you have exciting research you would like to share with us?

New INI Programme: Mathematics of deep learning

We're pleased to announce that the Isaac Newton Institute (INI) has approved the Mathematics of deep learning programme, co-organised by CCIMI director Carola-Bibiane Schönlieb and ...

Projects

We currently have 17 projects

Non-Reversible Markov Chain Monte Carlo

View the project

We accommodate research activity on fundamental mathematical problems and methodology for understanding, analyzing, processing and simulating data

Do you have exciting research you would like to share with us?

New INI Programme: Mathematics of deep learning

We currently have 17 projects

Non-Reversible Markov Chain Monte Carlo

Estimating the risk of collapse of antarctic ice shelves

Anisotropic Interaction Models for Simulating Fingerprint Patterns

Photoacoustic tomography: Image reconstruction techniques

Regularised optimal transport for solving gradient flows

Mathematical Imaging Methods for Mitosis Analysis in Live-Cell Phase Contrast Microscopy

Mathematical approaches for analysing dynamic imaging data

Advanced analytical techniques for intensive care big data

Formation and Adaption of Biological Transportation Networks

Statistical Applications of Persistent Homology

Mathematics of machine learning: mathematical learning methods for adaptive and robust data analysis

Computational and Statistical Joint Image Analysis

Mixing times

Mathematical Challenges in Electron Tomography

Denoising geodesic ray transforms

Bayesian Inference for Discretely Sampled Diffusions - solving the nonlinear inverse problem

To Create a Semantic Search Engine for Mathematical Literature