Dr Lida Kanari

PhD

Status

Research Fellow

Group of NeuroTopology & Modelling Lab

+44 1865 270513

Contact form

Research groups

Oxford Centre for Industrial and Applied Mathematics

Address

Mathematical Institute
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG

Major / recent publications

Open Positions

Open to PhD students to work on:

Topological Data Analysis
Machine Learning and AI
Applications of mathematics on neuroscience.

One PostDoctoral Position to be announced in 2026.
See more details here!

Teaching

Machine Learning

Further details

I am a Research Fellow of Applied Mathematics at the University of Oxford. I lead the Computational Algebraic Topology for Neuroscience group, which is dedicated to exploring how topology and applied mathematics can shape the future of neuroscience. Combining Topological Data Analysis, Machine Learning and Camputational Modeling, we study the properties of brain morphologies with the objective to understand pathologies and improve diagnostic tools.

Highlighted publications

Of mice and men: Dendritic architecture differentiates human from mouse neuronal networks.

Kanari, L Shi, Y Arnaudon, A Barros-Zulaica, N Benavides-Piccione, R Coggan, J DeFelipe, J Hess, K Mansvelder, H Mertens, E Meystre, J Perin, R Pezzoli, M Daniel, R Stoop, R Segev, I Markram, H de Kock, C iScience volume 28 issue 7 112928 (18 Jul 2025)

Generating brain-wide connectome using synthetic axonal morphologies.

Petkantchin, R Berchet, A Peng, H Markram, H Kanari, L Nature communications volume 16 issue 1 6611 (18 Jul 2025)

Computational Generation of Long-range Axonal Morphologies.

Berchet, A Petkantchin, R Markram, H Kanari, L Neuroinformatics volume 23 issue 1 3 (10 Jan 2025)

A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes

Colombo, G Cubero, R Kanari, L Venturino, A Schulz, R Scolamiero, M Agerberg, J Mathys, H Tsai, L Chachólski, W Hess, K Siegert, S Nature Neuroscience volume 25 issue 10 1379-1393 (30 Sep 2022)

Computational synthesis of cortical dendritic morphologies.

Kanari, L Dictus, H Chalimourda, A Arnaudon, A Van Geit, W Coste, B Shillcock, J Hess, K Markram, H Cell reports volume 39 issue 1 110586 (Apr 2022)

Research interests

Topological Data Analysis
Algebraic Topology
Stochastic Processes
Computational Neuroscience
Networks
Machine Learning

Prizes, awards, and scholarships

Research Grants

2024 – UKRI / MRC Research Grant Algebraic topology bridging the gap between single neurons and networks

Online talks
2025 – Geotop seminar
2025 – BrainNet