My main research interests include population level modelling, questions of causality and inference methods in high-dimensional neuroimaging data (both in terms of large sample sizes and large numbers of variables).
I am part of the FMRIB Analysis group led by Steve Smith and work closely with Tom Nichols and member of his NISOx group. Prior to coming to Oxford I was a postdoc in Sach Mukherjee's group at the German Centre for Neurodegenerative Diseases (DZNE) in Bonn.
Causality in neuroimaging
Mendelian randomisation, Bayesian networks, bias, assumptions, GWAS data and imaging derived phenotypes.
Longitudinal and population modelling
Causal Inference on Neuroimaging Data with Mendelian Randomisation
Taschler B. et al, (2022)
SARS-CoV-2 is associated with changes in brain structure in UK Biobank.
Douaud G. et al, (2022), Nature
Brain imaging before and after COVID-19 in UK Biobank.
Douaud G. et al, (2021), medRxiv
Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics
Warnat-Herresthal S. et al, (2020), iScience, 23, 100780 - 100780
MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry.
Bendfeldt K. et al, (2019), Brain Imaging Behav, 13, 1361 - 1374