After receiving a Ph.D. in statistics at Rutgers University in 1999, Yung-Seop Lee carried out several studies related to big data analysis and predictive modeling in various fields such as renewable energy, weather, finance, manufacturing using statistical learning theory, machine learning, and deep learning techniques. Particularly, in recent years, he has focused on the combination of statistical learning theory and machine learning (deep learning) techniques to actively build an AI model that can be interpreted, as well as research on data generation techniques.