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
ssociation between neuroticism and brain-wide structural outcomes: Mediation by vascular and mental conditions
Journal article
Gao Y. et al, (2025), Psychological Medicine, 55
nalysis of the senescence-associated cell surfaceome reveals potential senotherapeutic targets.
Journal article
Deng Y. et al, (2024), Aging cell, 23
Premorbid brain structure influences risk of amyotrophic lateral sclerosis
Journal article
Thompson AG. et al, (2024), Journal of Neurology, Neurosurgery & Psychiatry, 95, 360 - 365
Deep learning of causal structures in high dimensions under data limitations
Journal article
Lagemann K. et al, (2023), Nature Machine Intelligence, 5, 1306 - 1316
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