Summary
Shao Chew is a research-driven PhD candidate in Management Information Systems and a Graduate Assistant at the University of Memphis with eight years of cross-disciplinary experience spanning data analytics, operations, and applied engineering. He studies the normative and social impacts of emerging technologies, with a particular focus on AI-related phenomena like deepfakes and AI aversion, translating theoretical insight into empirical research and teaching. His background in chemical engineering, an MBA in operations, and hands-on roles—from optimizing supply-chain packaging at The Home Depot to environmental fieldwork for the City of Memphis—gives him a rare combination of technical rigor and practical problem-solving. Notably, he has driven tools and analyses that produced measurable operational savings and has experience synthesizing diverse data sources for policy and industry use. Based in Memphis, he bridges academia and industry to evaluate how technology reshapes behavior, institutions, and decision-making.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Management Information Systems, Doctor of Philosophy - PhD Management Information Systems at Fogelman College of Business & Economics, University of Memphis
IB Diploma, IB Diploma at Germantown High School
Master of Business Administration - MBA Operations Managemant and Supply Chain, Master of Business Administration - MBA Operations Managemant and Supply Chain at The University of Alabama
English, Spanish, Chinese