Hyunwook (Bob) Koh is an Assistant Professor in the Dept of Applied Mathematics and Statistics (AMS) at the State University of New York, Korea (SUNY Korea). He also serves on the committee for medical devices in the Ministry of Food and Drug Safety of the Republic of Korea (2024. 5. 20 - 2026. 5. 19). He joined SUNY Korea in the fall semester of 2020. Before that, he was a Postdoctoral Fellow in the Dept of Biostatistics at Johns Hopkins University. He earned his doctoral degree in biostatistics from New York University, master's degrees in applied statistics and biostatistics from Cornell University and the University of Southern California, and bachelor's degree in economics from Kyung Hee University. Dr. Koh is a biostatistician and has led research projects funded by the National Research Foundation of Korea and Incheon Technopark on statistical learning methods for microbiome-based causal mediation analysis and personalized medicine.
Dr. Koh has published his research papers in a range of academic journals, such as Statistics in Medicine, Microbiome, NAR Genomics and Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Microbiology Spectrum, BMC Microbiology, BMC Genomics, Biology Methods and Protocols, Frontiers in Genetics, Scientific Reports, PLoS One, Bioengineering, Microorganisms, Journal of Clinical Investigation, Nature Communications, eLife, Bioinformatics, Journal of Alzheimer's Disease, and so forth. He has also delivered a talk or organized a session at a range of academic meetings, such as Joint Statistical Meetings (JSM), Eastern North American Region (ENAR), International Conference on Statistics & Data Science (ICSDS), Bernoulli-IMS World Congress in Probability & Statistics, Korean Statistical Society (KSS), American Society of Human Genetics (ASHG), and so forth.
Personal Background: Dr. Koh grew up on Jeju island, and then moved to Seoul for a college education. He has lived in the United States for about 12 years (2 years in Ithaca, 4 years in Los Angeles, 4 years in New York, and 2 years in Baltimore). He loves music, sports and food.
Selected Publications
Koh, H. (2024) A general kernel machine regression framework using principal component analysis for jointly testing main and interaction effects: Applications to human microbiome studies. NAR Genomics and Bioinformatics, 6(4), lqae148.
Koh, H. (2023) Subgroup identification using virtual twins for human microbiome studies. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(6), 3800-3808.
Koh, H., Tuddenham, S., Sears, C.L., Zhao, N. (2021) Meta-analysis methods for multiple related markers: Applications to microbiome studies with the results on multiple α-diversity indices. Statistics in Medicine, 40(12), 2859-76.
Koh, H., Zhao, N. (2020) A powerful microbial group association test based on the higher criticism analysis for sparse microbial association signals. Microbiome, 8(63), 1-16.
Koh, H., Blaser, M.J., Li, H. (2017) A powerful microbiome-based association test and a microbial taxa discovery framework for comprehensive association mapping. Microbiome, 5(45), 1-15.
A full list of publications can be found on the following websites: