Dr Artemis Koukounari
BSc MSc PhD
I am a Statistical Epidemiologist and joined LSHTM in April 2018.
My previous roles include: Senior Lecturer in Medical Statistics at the Clinical Sciences Department of the Liverpool School of Tropical Medicine; Lecturer in Statistics at the Biostatistics Department of the Institute of Psychiatry, Psychology and Neuroscience; MRC Population Health Scientist Fellow between the Infectious Disease Epidemiology Department of Imperial College and the Statistics Department of the London School of Economics and Political Science. Prior to those appointments, I was the Senior Research Statistician during six years for the Schistosomiasis Control Initiative also based at Imperial College.
I have a PhD in Statistical Epidemiology from Imperial College London (2009), an MSc in Statistics from the London School of Economics and Political Science (2003) and a first degree in Statistics from the Athens University of Economics and Business, Greece (2001).
I am part of a team led by Professors Joy Lawn and Mark Jit aiming to investigate and develop a value proposition for Group B Streptococcus (GBS) maternal immunization with WHO. Currently, I am investigating optimal statistical methods that can allow synthesizing evidence from different sources explicitly modelling potential biases and attempting to generalize the results for broader populations regarding evaluation of epidemiology and cost-effectiveness of maternal GBS vaccines.
More broadly, I am interested in advancing research on the role of infections in mental health and well being (aiming to improving prospects for prevention and intervention strategies). With regards to methodological work I also have an ongoing interest on latent variable modeling. In collaboration with various experts, we have employed and demonstrated the use of such methods for evaluation of diagnostics of tropical infectious diseases, pooled analysis of individual participant data, longitudinal exploratory mediation and evaluation of psychometric properties for scales.
Finally, I am highly interested in life course epidemiology problems and the statistical methods associated to such problems.