Kirstin is a postdoctoral fellow in the lab of Yonatan Grad, where she develops mathematical models to compare genomic surveillance strategies. She recently completed her PhD in Computational Mathematics at the University of São Paulo, where she applied machine learning and causal inference to study the spread of vector-borne diseases in Brazil. Prior to her PhD studies, Kirstin was a data scientist at the World Bank Group and has worked on international development projects in Latin America, Sub-Saharan Africa, and Asia.
