Bernd Taschler
Postdoctoral Researcher
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
UK Biobank.
Recent publications
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SARS-CoV-2 is associated with changes in brain structure in UK Biobank.
Journal article
Douaud G. et al, (2022), Nature
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Brain imaging before and after COVID-19 in UK Biobank.
Journal article
Douaud G. et al, (2021), medRxiv
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Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics
Journal article
Warnat-Herresthal S. et al, (2020), iScience, 23, 100780 - 100780
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MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry.
Journal article
Bendfeldt K. et al, (2019), Brain Imaging Behav, 13, 1361 - 1374
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Ancestral causal learning in high dimensions with a human genome-wide
application
Noè U. et al, (2019)