Andrew Paul Cox

PhD, Senior Data Scientist, Real-World Evidence

Andrew’s main areas of expertise are data science, epidemiology, and mathematical modelling, with 11 years of experience and publications within each of these disciplines. He has extensive experience conducting complex data driven research projects for a wide range of indications, but especially in the areas of hospital acquired infections, HIV, tuberculosis, sexually transmitted diseases, psoriasis, and antimicrobial resistance. In addition, he has specialist technical expertise in machine learning and text analysis (especially relating to analysis of health related social media).

Prior to joining Evidera, Andrew worked at the London School of Hygiene and Tropical Medicine and at the Health Protection Agency, London, England. In these institutions, he worked on projects modelling the HIV epidemic in the UK, Uganda, and South Africa. Additionally, he has been involved in modelling studies based around RCTs for new interventions against tuberculosis in South Africa and syphilis in China. Andrew is an experienced R statistical software programmer and previously held introductory courses to the software at the London School of Hygiene and Tropical Medicine.

He achieved a PhD in molecular epidemiology at the University of Edinburgh. The research used molecular and mathematical modelling to demonstrate how trypanosomiasis (sleeping sickness) may be highly prevalent but asymptomatic in both cattle and humans; this was contrary to current epidemiological knowledge. His publications include new health technology interventions targeted at reducing the burden of the HIV in Uganda and South Africa, herpes vaccination strategies in the UK, the role of core groups in HIV transmission, and the use of rapid diagnostic tests for the syphilis epidemic in China.