Contact information
Research groups
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).
Since 2023 I am part of the Oxford-Novartis collaboration at the Big Data Institute led by Tom Nichols. I'm working closely with Habib Ganjgahi and Tom's NISOx group. My main research focus at the moment is on modelling disease progression in MS, using large-scale trial data.
Before joining the BDI, I was part of the FMRIB Analysis group led by Steve Smith, and 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
Brain age prediction, modelling of confounds, UK Biobank.
normative modelling
Individual deviation scores in MS populations, prediction, time-to-event analyses.
Recent publications
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Analysis of the senescence-associated cell surfaceome reveals potential senotherapeutic targets.
Journal article
Deng Y. et al, (2024), Aging Cell
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Premorbid brain structure influences risk of amyotrophic lateral sclerosis.
Journal article
Thompson AG. et al, (2023), J Neurol Neurosurg Psychiatry
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Genetic architecture of brain age and its casual relations with brain and mental disorders.
Journal article
Leonardsen EH. et al, (2023), Mol Psychiatry
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Telomere length and brain imaging phenotypes in UK Biobank
Journal article
Topiwala A. et al, (2023), PLOS ONE, 18, e0282363 - e0282363
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Genetic architecture of brain age and its casual relations with brain and mental disorders
Preprint
Leonardsen EH. et al, (2023)