Linda Bryant
EPSRC DRIVE-Health Student 2024 Cohort

PhD project title

Parkinson’s Disease and Psychosis: Improving Understanding and Outcome Prediction Using Artificial Intelligence.

Research interests

Artificial Intelligence/ Machine Learning in Translational Research, Parkinson's Disease, Psychosis, Precision Psychiatry, Neuroimaging.

Hobbies and interests

Art, basketball, netflix, and food.

Co-funding Partner

Biography

Linda is a PhD student in the Artificial Intelligence in Mental Health (AIM) Lab, where her research focuses on applying AI to explore the interface between Parkinson’s disease and psychosis. Her work involves developing machine learning models aimed at enhancing early diagnosis and intervention strategies for neurodegenerative and mental health conditions. Linda completed her BSc in Brain & Cognition and Clinical Psychology at the University of Amsterdam in 2023 and, later that year, began her MSc in Mental Health Studies at King’s College London, graduating with distinction. During her master's she was awarded a EPSRC DRIVE-Health studentship, which gave her the opportunity to pursue her own PhD project, exploring Parkinson’s disease and psychosis using AI. Her research aims to use machine learning methods to predict disease onset and treatment outcomes in Parkinson’s and psychosis populations. By leveraging clinical, cognitive, genetic, and neuroimaging data, she seeks to inform clinical approaches in neurodegenerative and psychiatric care. Through her research, Linda is committed to translating data science into clinical applications, advancing precision medicine in Parkinson’s and psychosis using AI.
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