Lauren Thomas

Thesis title: Characterising pain, sleep, fatigue and activity in endometriosis through matched analysis of cannabinoid use and pre- and post-treatment wrist-worn actigraphy

Biography

Background

Lauren studied Computer Science (Artificial Intelligence) at the University of Sheffield as an integrated Masters degree. During her final year she worked as a Research Assistant in the Machine Learning group on a project using ML to track Bumblebees. Her Masters research project was on improving accuracy of Prostate Cancer diagnosis algorithms with Continuous and Federated Learning. Now, as an MRC-funded PhD candidate in Precision Medicine, her work looks into characterising pain, sleep, fatigue and activity in endometriosis through matched analysis of cannabinoid use and pre- and post-treatment wrist-worn actigraphy.

Qualifications

MComp Computer Science (Artificial Intelligence) at The University of Sheffield (2022-2026) First-Class Honours

MRC DTP Precision Medicine Integrated PhD Studentship at The University of Edinburgh (2026-2030)

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