Dawit obtained his BSc in Economics and Logistics from Molde University College in Norway; and completed a Graduate Certificate in Statistics in 2015 at the University of Sheffield. This led to an MSc in Medical Statistics which he obtained in 2016 from the University of Leicester. His Masters dissertation investigated multimorbidity patterns and associated factors in older adults using UK Biobank data. He used a novel application combining cluster analysis and data mining techniques to identify patterns of co-existence between chronic conditions which may be used for developing clinical guidance for this population.
Dawit’s PhD thesis (2016-2019) investigated the economic burden and determinants of the healthcare costs of back pain in the UK using electronic health records (EHRs). He is currently a research fellow in the Health Informatics group which is a multi-disciplinary research group at the Institute of Applied Health Research. He leads the research efforts in rheumatology theme within the group, with a particular focus in investigating the link between rheumatic diseases and other chronic conditions including diabetes.
Dawit is also a fellow (GradStat) of the Royal Statistical Society (RSS). With background in both statistics and economics, he is keen in developing and applying modern and appropriate econometric and statistical methods in health services research and observational studies; a work that sits at the interface and integration of medical statistics and health economics/econometrics.