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Peizan Sheng

Pearson Scholar

PhD Student

Peizan Sheng holds an MSc in Applied Economics from Cornell University and a BS in Mathematics from Renmin University of China. His research interest lies at the intersection of poverty measurement, poverty dynamics, and machine learning methods. 

Prior to joining Harris, he was a research assistant to Professor Chris Barrett. In the master's thesis, he constructed an internationally-and-intertemporally comparable, structural asset poverty measures. These measures are founded in theory, linked directly to official poverty lines, and are amenable to ML-based prediction using Earth Observation (EO) data.


Baidoa, Somalia

Makeshift, temporary shelter made of plastic and clothing at a refugee center in Baidoa, Somalia.