1. The value of reducing uncertainty of HIV-prevalence estimates at the zip code level. A Case of study in Atlanta, Georgia
   • Estimating HIV-prevalence point estimates and uncertainty bounds at the zip code level using existing data.
   • Calibrating an HIV transmission model at the zip code level using city-level target parameters
   • Develop a decision model for the relationship between zip code estimates of HIV-prevalence, allocated resources, and health outcomes
   • Quantify the expected value of perfect and partial information of reducing decision uncertainty when using local HIV-prevalence estimates
2. Preferences elicitation among HIV patients for long-acting injectable antiretroviral therapy
3. Generalized Simultaneous Equation Model to evaluate an alternate metric to the BMI to reflect health rather than growth

Projects: Latin-America
Projects: Sub-saharan Africa