Fani Deligianni

Professor In Trustworthy Artificial Intelligence And Computer Vision at University of Glasgow

Glasgow, Scotland, United Kingdom
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Summary

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Senior
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Top School
Fani Deligianni is an Associate Professor and senior lecturer at the University of Glasgow with a PhD in Medical Image Computing from Imperial College London and over a decade of research experience bridging machine learning, neuroscience and medical imaging. Her work focuses on statistically rigorous mappings between brain structure and function, exploiting sparsity, multivariate inference and non-parametric methods to reduce false positives in connectivity models. She is proficient in C++, Python, R and MATLAB, and has translated research into usable software packages and project-managed EU/UK innovation efforts and commercial medical imaging development. Her research blends theory and practice—using MCMC, randomized Lasso and manifold transport for covariance analysis—rather than purely black-box ML, enabling interpretable neuroimaging models. Based in Glasgow, she combines academic leadership with hands-on algorithm and software development, including contributions to tools like TractoR and research code distributions. An underappreciated strength is her cross-disciplinary training (advanced computing, neuroscience and engineering), which lets her navigate and integrate diverse methodological perspectives.
code8 years of coding experience
job17 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.) Medical Image Computing, Doctor of Philosophy (Ph.D.) Medical Image Computing at Imperial College London
bookEngineer’s Degree Electrical and Computer Engineering, Engineer’s Degree Electrical and Computer Engineering at Aristotle University of Thessaloniki (AUTH)
bookUniversity College London
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Github Skills (5)

eye-tracking6
multimodal3
neuroimaging2
open-source2
data-analysis1

Programming languages (3)

C++MATLABPython

Github contributions (5)

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fd301/CDSS_course

Nov 2021 - Jun 2022

Contributions:16 commits, 8 pushes in 7 months
fd301/fd301.github.io

Sep 2024 - May 2026

Contributions:39 pushes, 1 branch in 1 year 8 months
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