CV

Employment

Current position (2026-present): Assistant Professor of Computational Neuroscience, Aarhus University, DK

Sep 2021 - Dec 2025: Postdoctoral Research Fellow, Aarhus University, DK

• Large-scale project management: design, development, and execution of large human neuroimaging data collection and analysis
• Technical expertise: application of Bayesian statistical methods, machine learning, and computational modelling of human neuroimaging (including time series analysis) and behavioural data
• Effective communication and dissemination of results: through regular local, national, and international conference presentations (talks and posters) and written publications
• Eleven presentations (talks and posters) across five different countries

Education

PhD: Wellcome Trust Fellowship, Neural Dynamics, University of Bristol, UK

Thesis title: “Modelling of Behaviour and Neuroimaging in Decision Making and Memory Through Application of Variational Bayesian Methods, In Health and Disease”. Link to Thesis

Supervisor: Prof Rosalyn Moran

• Dynamic Causal Modelling: model fitting and estimation of EEG data (brain activity time series analysis) in Alzheimer’s Disease patients compared to healthy aged control participants
• Active Inference: computational modelling of human decision making, model inversion, and parameter recovery and estimation
• Decision making: Human fMRI brain imaging data collection and analysis, examining the effect of noradrenaline on prediction error
• Six presentations (talks and posters) across four different countries

BSc: First Class (Hons) Biomedical Sciences (Neuroscience), The University of Edinburgh, UK

• Final Year Dissertation: ‘Genome Editing with CRISPR/Cas9 to Explore the Function of Neural Stem Cell-Affiliated Transcription Factors’

My curriculum vitae is available as a PDF:

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