Research
Dr Lida Kanari
Topology, Neuroscience, and Learning in Biological Networks
Dr Lida Kanari works at the interface of mathematics, biology, and computation. She develops mathematical and topological tools to understand the structure of neurons, glial cells, and the networks they form. The goal is to uncover how biological shape informs function — and how these principles can inspire new models in neuroscience and artificial intelligence.
Her DPhil projects offer a blend of:
- Algebraic topology
- Computational modelling
- Machine learning and data-driven techniques
- Biological networks and connectomics
The DPhil projects offered by Dr. Kanari are designed to be adaptable to a candidate’s strengths, whether more theoretical, computational, or interdisciplinary. Take a look: Projects and Scientific Interests.pdf
Spotlights
Take a closer look at the work of Prof. Sarah Waters
Prof. Ian Hewitt on modelling ice sheets.
Prof. Dominic Vella explains wrinkling from our OCIAM LEARNS seminar series.
