Odessa Hamilton

Odessa is a scientist and statistician with academic, consultancy, and board-level experience. Her interdisciplinary work traverses statistics, epidemiology, biomedicine, genetics, economics, and behavioural science. Through cross-sector collaboration, she has developed methodological expertise and translational knowledge to bridge applied and social sciences, with a view to generating novel evidence, advancing change, and developing nuanced solutions to complex challenges. 

At Oxford Population Health, in the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Odessa contributes to the CoMPuTE project as part of a broader interdisciplinary departmental and institutional syndicate effort. With a CoMPuTE Theme 2 focus, she exploits observational and genetic data to characterise the epidemiology, health inequalities, and causal relevance of complex multiple long-term conditions (C-MLTC) by identified risk factors and clusters of AI-derived disease trajectories. Through a precision medicine lens, findings from the three CoMPuTE themes are synthesised to advance the understanding of C-MLTC, for the effective development of clinically efficacious interventions. 

Trained at four of the world’s top 10 universities, Odessa was awarded scholarships from two UKRI Research Councils and Harvard University. She has a PhD in Biobehavioural Epidemiology and Precision Medicine, which  built on her MSc in Psychological Sciences earnt with Distinction, following a First-Class Degree with honours in Organisational Psychology, summa cum laude. 

Odessa is also a British Psychological Society (BPS) accredited psychologist and Fellow of the Royal Society of Public Health (RSPH), who has taught biostatistics at UCL, and has guest lectured on the LSE Executive MBA and Leadership programmes.