Kanghyun (Simon) Cho is a Ph.D. candidate in Management Information Systems at Temple University. His research explores how artificial intelligence (AI) shapes expert decision-making in high-stakes domains such as healthcare and financial markets, with particular attention to the tension between algorithmic automation and augmentation. He employs experimental and econometric methods to examine when AI systems enhance or undermine professional judgment. His research has been presented at several leading academic conferences and workshops, including ICIS, WISE, CIST, AOM Annual Meeting, INFORMS Annual Meeting, SCECR, IC2S2, and AMCIS. He received the Best Reviewer Award at ICIS 2024 for the Data Analytics for Business and Societal Challenges track. Prior to his doctoral studies, he served as a research scientist in the South Korean government, focusing on public health policy and disaster response.