I am a Ph.D. student in the Interdisciplinary Graduate Program in Informatics (IGPI) at the University of Iowa. My current academic advisor is Dr. Kang Zhao from the Department of Business Analytics. My research focuses on data mining in social/business networks. Specifically, I am interested in graph embedding techniques that learn the representations of networks using machine learning and deep learning architectures. I have done several data science projects that are applied in various domains. I proposed a link prediction method to predict the future interactions among users in an online health community, explored the association between customer satisfaction and entrepreneur’s business strategy in a crowdfunding platform, and discovered the association between research scholars’ expertise and research success. Most recently, I am working on a project that proposes a novel Graph Neural Network model that predicts team performance in collaborative environments using teams’ hierarchical structures.
I also collaborated with experts from medical and pharmaceutical backgrounds. I analyzed the medical claims dataset to optimize treatment for heart attack patients using predictive modeling and provided data-driven insights for possible risk factors for genetic disease carriers. These collaboration experiences taught me that data science skills are further applicable to medical domains by discovering unknown findings.
🎓 B.S. in Computer Science and Engineering, Handong Global University (South Korea), 2017
🎓 Ph.D. in Interdisciplinary Graduate Program in Informatics, University of Iowa, 2022 (expected)
Areas of interest
Data mining in business/social networks, Graph neural network, Data science, Social network analysis, Machine learning, Deep learning