Professional Profile

Dr. Kyungchan Park specializes in decision-making and problem-solving under uncertainty through logical reasoning, scientific methodologies, and data-driven analysis. His work draws on data science, business analytics, decision science, and management philosophy to help organizations make more informed, responsible, and human-centered decisions. 

Dr. Park’s research interests include advanced data analytics, artificial intelligence, mathematical programming, statistical inference, and decision-making under uncertainty. His current work increasingly connects decision science with system and mechanism design for human-centered AI, including distributed AI, multi-agent systems, and governance structures that help AI systems operate responsibly in complex organizational settings. He is especially interested in how data-driven insights can be transformed into compelling narratives and practical decisions, rather than remaining as purely technical outputs. 

As AI continues to evolve rapidly, Dr. Park is conducting research on ethical AI governance, drawing from Peter Drucker's philosophy of Management as a Liberal Art (MLA), which emphasizes a human-centered approach to management. He contributes to the academic community through collaborative projects,  including a symposium on "AI and Ethics" and research on "AI and MLA" at the Management as a Liberal Art Research Institute (MLARI) in Alhambra, California. 

Dr. Park holds a PhD in Business Analytics from the University of Iowa in Iowa City, Iowa. He also holds a BBA and an MS in Management Science from Yonsei University School of Business in Seoul, South Korea, one of Korea’s most prestigious business schools and the only Korean business school accredited by AACSB, EQUIS, AMBA, and KABEA. 

Dr. Park serves as a Professor of Practice in Data Analytics at the California Institute of Advanced Management (CIAM) in Alhambra, California. He also teaches graduate courses in data analytics and decision science at Westcliff University in Irvine, California. His teaching philosophy emphasizes student-centered learning, critical thinking, creativity, and the practical application of theory to real-world problems.