Sung Eun Kim

Dr. Sung Eun Kim has expertise in statistical methods and serves as a Professor of Statistics in the Department of Mathematics and Statistics at California State University, Long Beach. She earned her PhD in Statistics from the University of California, Davis, where she developed a strong foundation in both theoretical and applied statistics. Dr. Kim's research primarily revolves around the development and application of innovative statistical methods, contributing significantly to the field through her numerous publications. At California State University, Long Beach, Dr. Kim is dedicated to teaching a wide array of courses that cater to both undergraduate and graduate students. Her teaching portfolio includes Time Series Analysis, Computational Statistics, Experimental Design and Analysis, Multivariate Analysis, and Data Analysis with SAS. Her courses are known for their rigorous approach and practical applications, preparing students for careers in academia, industry, and research. Dr. Kim is passionate about mentoring students and fostering a collaborative learning environment. She encourages her students to engage in research projects that challenge conventional statistical approaches and explore new methodologies. Her commitment to student success is evident in her active involvement in curriculum development and her efforts to integrate the latest statistical software and techniques into her teaching. In addition to her teaching and research responsibilities, Dr. Kim is actively involved in the academic community. She frequently participates in conferences and workshops, sharing her insights and learning from fellow statisticians. Her contributions to the field have been recognized through various awards and honors, reflecting her dedication to advancing statistical knowledge and education. Dr. Kim's work extends beyond the classroom and research lab, as she collaborates with colleagues on interdisciplinary projects that apply statistical methods to solve real-world problems. Her expertise is sought after by both academic and industry partners, highlighting her role as a leader in the field of statistics.