Summary
I am a Statistical Analyst in the NTD Epidemiology Research Group (NERG) at Imperial College, a member of the London Centre for Neglected Tropical Disease Research (LCNTDR).
The overall goal is to analyse data from vaccine trials and develop a stochastic simulation mathematical model to assess the impact of vaccination on the dynamics of schistosomes in individuals. The vaccine models will then be integrated into the existing deterministic and stochastic models for dynamics of helminth burdens in large-scale socially structured host populations undergoing regular Post Cycle Treatment (PCT) interventions.
I am working on the analysis of trial data on vaccine efficacy particularly impact on parasite establishment on challenge, parasite survival and egg production in vaccinated and control groups. We are in collaboration with scientists at Texas Tech University School of Medicine in the USA where experimental work is underway.
I hold a MSc in Statistics from Imperial College London and a BSc in Mathematics from University of Leicester.
The London Centre for Neglected Tropical Disease Research (LCNTDR) is an innovative research collaboration between Imperial College London, the Partnership for Child Development, the Schistosomiasis Control Initiative, the London School of Hygiene and Tropical Medicine, the Natural History Museum, and the Royal Veterinary College.
The LCNTDR was founded to provide focused operational and research support for neglected tropical diseases (NTDs). Its aim is to use the expertise of its member organizations to answer key questions about NTD transmission, control, and programme implementation. These results can then inform policy makers of how to achieve the greatest impact on morbidity and mortality caused by NTDs.
More information about the LCNTDR can be found at www.londonntd.org.
Publications
Conference
Cocarascu O, Stylianou A, Cyras K, et al. , 2020, Data-empowered argumentation for dialectically explainable predictions, 24th European Conference on Artificial Intelligence (ECAI 2020), IOS Press, Pages:2449-2456