Bernd Taschler
Senior Postdoctoral Researcher
My areas of interest include neuroimaging statistics (esp. population level modelling of high-dimensional data), causality, normative models, advanced ML, and Bayesian inference.
I joined the Big Data Institute and the Oxford-Novartis collaboration for AI in medicine in 2023. My current research focus is on normative disease trajectories and modelling of progression in MS using a large-scale database of clinical trials.
Prior to this, I was part of FMRIB's Analysis group and a postdoc at the German Centre for Neurodegenerative Diseases (DZNE). I hold a PhD in neuroimaging statistics from the University of Warwick and an MSc in theoretical physics from TU Graz, Austria.
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, 23
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Premorbid brain structure influences risk of amyotrophic lateral sclerosis
Journal article
Thompson AG. et al, (2024), Journal of Neurology, Neurosurgery & Psychiatry, 95, 360 - 365
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Deep learning of causal structures in high dimensions under data limitations
Journal article
Lagemann K. et al, (2023), Nature Machine Intelligence, 5, 1306 - 1316
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Genetic architecture of brain age and its causal relations with brain and mental disorders
Journal article
Leonardsen EH. et al, (2023), Molecular Psychiatry, 28, 3111 - 3120
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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