I have been performing analyses of HIV studies, both clinical and observational, for over than 20 years. Currently, I am the co-Director of the East Africa Regional Consortium of the International Epidemiologic Databases to Evaluate AIDS (IeDEA-EA). My experience with analysis of observational data, and, in particular, developing methods to adjust estimates of mortality and patient retention by incorporating data from patients who have been traced after being lost to program will be crucial for the success of all research proposed by the East Africa IeDEA Regional Consortium and, more generally, the global IeDEA network. I have also had a strong interest in teaching and mentoring students in Biostatistical and Epidemiological methods and am gratified to see my students, particularly in low and middle-income settings, grow and develop into vibrant, independent scientists.
My current research focus is in the development of Biostatistical methods to support Implementation Science in the HIV treatment “cascade”, which is characterized by significant non-retention of HIV-infected individuals as they move through its successive stages in their disease, particularly in resource-limited settings. Thus, methods which can adjust the inferences from the incomplete group of patients remaining within the cascade are necessary. Our program in East Africa has been a leader in the development of such methods incorporating data from randomly selected patients dropping out of the HIV care cascade to adjust the crude estimates generated from those remaining on observation. With the shifting emphasis from the individual program to the overall system level, implied in the UNAIDS “90-90-90” target, methods which can address the process of disengagement from care from one program and re-engagement in another, are increasingly relevant.