Soeun Kim, PhD
Office Hours
Online appointments on Tuesdays 4:00 - 6:00 PM. Email professor for appointment link
![placeholder](https://www.apu.edu/faculty/photos/soeunkim.jpg)
Director, Graduate Program in Applied Statistics and Data Science; Professor, Department of Computer Science, Engineering, Math, Physics, and Statistics
Phone: (626) 815-6000, Ext. 2600
Email: [email protected]
Office Location: Segerstrom Science Center, Room 110
Soeun Kim, PhD, is program director of APU’s Graduate Program in Applied Statistics and Data Science, and teaches various courses in statistics, including core courses and electives. Kim obtained her PhD in Biostatistics from the University of California, Los Angeles, and after graduation, she worked as an Assistant Professor at the Department of Biostatistics and Data Science at the University of Texas Health Science Center. Kim has also taught mathematics and statistics abroad in the U.K. and in Korea, and has been involved in statistical methodology research with various clinical applications. Kim’s research experience incorporates the development of statistical methodology and extensive collaborative work with experts in diverse fields. Her expertise lies in statistical research focused on statistical methods for incomplete data, which is useful in all disciplines including biostatistics, business analytics, education, psychology, as well as clinical research. Kim is particularly interested in interdisciplinary collaboration in mental health research and clinical trial applications. Kim is passionate about mentoring students, actively involving students in research, and advising graduate students on projects and dissertations. She is also passionate about spiritual formation and faith integration, and enjoys playing the violin.
Education
- PhD, University of California, Los Angeles
- MS, Seoul National University
- MA, University of Cambridge
- BA Honours, University of Cambridge
Academic Area
- School of Humanities and Sciences
Courses Taught
- STAT 501 - Introduction to Modeling with Probability
- STAT 502 - Mathematical Statistics
- STAT 542 - Applied Logistic Regression
- STAT 543 - Applied Longitudinal Data Analysis
- STAT 596 - Practicum
- STAT 597 - Statistical Consulting Practicum
- STAT 598 - Culminating Project