Sindiso is a Ph.D. candidate in Epidemiology and Population Health. His research interests include Global Health, Infectious Disease modeling, and Health Policy in low and middle-income countries. Sindiso is passionate about working to leverage the range of bioinformatic, mathematical, and computational tools available today to improve public health and combat disease in LMICs. His current research includes pathogen evolution, vaccine policy work, and vector ecology and control. Before coming to Stanford, he worked as a Systems Modeler at the Global Obesity Prevention Center at Johns Hopkins University. His work with the GOPC focused on assessing the effectiveness of obesity-related interventions in communities using systems science tools.