Bernd Taschler
Senior Postdoctoral Researcher
My main research interests include population level modelling, questions of causality and statistical inference in high-dimensional neuroimaging data.
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
Bayesian modelling, Mendelian randomisation, sources of bias, modelling assumptions, GWAS, imaging derived phenotypes, advanced ML/AI and stats.
Longitudinal and population modelling
Normative modelling, progression, clinical outcomes in MS, survival models, prediction, UK Biobank.
Recent publications
Bayesian Nonparametrics for Normative Modelling in Multiple Sclerosis via Modularised Inference
Preprint
Taschler B. et al, (2026)
Association between neuroticism and brain-wide structural outcomes: Mediation by vascular and mental conditions.
Journal article
Gao Y. et al, (2025), Psychol Med, 55
Analysis 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), J Neurol Neurosurg 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