Lida Kanari
Group Leader
NeuroTopology Group
Mathematics • Topology • Neuroscience • Computation
Developing mathematical foundations for understanding biological structure across scales.
We combine mathematics, topology and computation to understand how the structure of cells gives rise to complex biological organization, from individual neurons to networks.
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Research at a Glance
Four complementary directions shape our research.
Mathematical Foundations
Topology, geometry and stochastic structure.
Data-Centric Computation
Machine learning, graph methods and multimodal biological data.
Generative Biology
Computational synthesis, generative morphology and structure–function constraints.
From Cells to Systems
Neuronal networks, connectomes and tissue organisation.
The People Behind NeuroTopology
Meet the researchers developing mathematical and computational foundations of the NeuroTopology Group.
Nestor Timonidis
Postdoctoral researcher
Coming soon
Doctoral student
Featured Projects
Selected projects illustrating the research directions of NeuroTopology.
Mathematical Foundations
Topology of Trees
Developing the mathematical framework for representing trees, branching structures and their topological properties.
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Data-Centric Computation
Learning Biological Structure
Topological and machine learning methods for comparing, classifying and clustering complex cellular morphologies.
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From Cells to Systems
From Neurons to Networks
Understanding how single cell morphology constrains connectivity and contributes to brain-network organization.
Explore project →Interactive Exploration
Explore the work of the NeuroTopology group through interactive scientific games and experimentation with the tools we develop.
Coming soon!
Real Neuron Challenge
Can you distinguish real neuronal morphologies from computationally generated ones?
Coming soon!
Synthesize Your Own Neuron
Explore how mathematical and biological constraints generate realistic neuronal morphologies.
Featured Publications
Selected papers illustrating the research directions of NeuroTopology.
2026
Temporal Topology Provides an Interpretable Framework for Neuronal Morphogenesis
Neuroinformatics
2026
Spatial Continuity of Neurons Explains Non-random Network Architecture
iScience
2025
Of Mice and Men: Dendritic Architecture Differentiates Human from Mouse Neuronal Networks
iScience
Latest News
Recent highlights from the NeuroTopology Group.
New members joining NeuroTopology
We welcome one postdoctoral and two new doctoral researchers to the group.
Presenting at Erlangen AI hub conference
Flash talk from Lida Kanari about neuron and network complexity.
New Publication
Temporal Topology Provides an Interpretable Framework for Neuronal Morphogenesis.
Lida Kanari appointed Associate Editor of Brain Informatics
Joining the editorial board of the Springer Nature journal Brain Informatics.
Lida Kanari joins the Young Academy of Europe
Joining a European network of outstanding early-career researchers across disciplines.
Opportunities
Join the Group
We welcome enquiries from researchers and students interested in mathematics, topology, computational neuroscience and neuronal morphology.
Opportunities for doctoral research, postdoctoral projects and student research projects will be advertised here as they become available.
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