Summary
Woojin Jung is an assistant professor and data scientist who applies AI and machine learning to measure and mitigate global poverty, specializing in multimodal approaches that fuse satellite imagery, social media, and connectivity data. With a decade of experience and a PhD from UC Berkeley plus an MPP from Harvard, she builds high-resolution poverty maps and data infrastructure that directly inform social safety nets, including Zambia’s Food Security Pack. Her work bridges methodological innovation and policy impact—optimizing resource targeting and interpolating sparse spatial data to address climate-induced vulnerability in sub-Saharan Africa and Southeast Asia. Funded by the NSF and Microsoft and winner of the SSWR Best Dissertation Award, she uniquely combines rigorous interdisciplinary publication with practical program implementation.
9 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of California, Berkeley
MPP, MPP at Harvard University