Alistair Perry Email & Phone Number

Oxford, England, United Kingdom

Oxfordshire, England, United Kingdom

I conduct an experimental approach studying the predictors of brain responses to intervention drug therapies in dementia patients. This has involved (1) building and deploying programming code for advanced statistical (e.g. Bayesian) and machine learning on large-scale biomedical data, (2) delivering data-driven insights to stakeholders and diverse audiences, and (3) code production.And more specifically:- Analysing the relationships between large-scale brain imaging… Show more I conduct an experimental approach studying the predictors of brain responses to intervention drug therapies in dementia patients. This has involved (1) building and deploying programming code for advanced statistical (e.g. Bayesian) and machine learning on large-scale biomedical data, (2) delivering data-driven insights to stakeholders and diverse audiences, and (3) code production.And more specifically:- Analysing the relationships between large-scale brain imaging (neurophysiology and neuroimaging) and behaviour data across dementia patients and disease subtypes. - Developed study design assessing drug treatment effects on dementia patients and healthy controls, using complex statistics and prediction models of individual-level responses. - Disseminated research findings through publishing in top-tier scientific journals (e.g. AMJP, Neuroimage, Translational Psychiatry) and presenting at international conferences.- Development and deployment operations of programming code, and made publicly available. Curation of documented reproducible workflows (Jupyter/Markdown)Skills: Neuroscience | Statistics | Neuroimaging | Bayesian inference | Data visualisation | R | Python | Time-series analysis | Prediction algorithms | Graph Networks | Building automated pipelines (i.e. git and RMarkdown) Show less

Berlin, Germany

I investigated the prediction of inter-individual differences in behaviour from large-scale and multi-dimensional neuroimaging data across both healthy and clinical populations. This featured:- Designed and supervised use of machine learning (random-forest, XGBoost) for prediction of post-surgical clinical outcomes, training in model evaluation and optimization- Developed statistical design for multiple studies involving patient-level longitudinal data, and prediction of… Show more I investigated the prediction of inter-individual differences in behaviour from large-scale and multi-dimensional neuroimaging data across both healthy and clinical populations. This featured:- Designed and supervised use of machine learning (random-forest, XGBoost) for prediction of post-surgical clinical outcomes, training in model evaluation and optimization- Developed statistical design for multiple studies involving patient-level longitudinal data, and prediction of outcomes in development- Developed cloud-based (UNIX/HPC) data mining pipelines extracting high-scale raw patient neuroimaging data into project metrics. Led its software development in a deserve team of 4, managed code contribution (git)- Provided regular teaching to cross-functional colleagues on statistical modelling, field-adopted programming and data standards (python, R) and reproducible workflows (git, docker) Show less

Doctor Of Philosophy - Phd, Neurobiology And Neurosciences

Bachelor Of Science - Bs, Psychology, Honours