Hyeonju Kim Ph.D.
Visiting Scientist — Division of Bioinformatics and Biostatistics
Hyeonju Kim, Ph.D.
(870) 543-7121
NCTRResearch@fda.hhs.gov
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Background
Dr. Hyeonju Kim has been a mathematical statistician in the Division of Bioinformatics and Biostatistics (DBB) at FDA’s National Center for Toxicological Research (NCTR) since August 2022. She conducted postdoctoral research at the University of Tennessee Health Science Center followed by postdoctoral research at Columbia University Irving Medical Center, developing algorithms for Quantitative Trait Locus (QTL) analysis in the context of multivariate linear mixed models and for fine mapping in the univariate logistic mixed model in quantitative genetics. Dr. Kim holds a Ph.D. in statistics from the University of Arizona and a master’s degree in mathematics from the University of New Mexico.
Research Interests
Dr. Kim’s research interests and expertise are in stochastic processes, extreme value theory, and high-dimensional data analysis in a wide range of applications, such as survival and event history analysis and quantitative genetics. She is currently working on covariate shift or transfer learning in machine learning.
Professional Societies/National and International Groups
American Economic Association
Member
2015 – Present
Institute for Mathematical Statistics
Member
2015 – Present
Society for Industrial and Applied Mathematics
Member
2014 – Present
Selected Publications
Flexible Multivariate Linear Mixed Models for Structured Multiple Traits.
Kim H., Farage G., Lovell J.T., Mckay J.K., Juenger T.E., and Sen Ś.
bioRxiv. 2021, doi: https://doi.org/10.1101/2020.03.27.012690.
A Pragmatic Intervention Utilizing Financial Incentives for Pregnancy Weight Management: A Feasibility Randomized Controlled Trial.
Krukowski R.A., Johnson B., Kim H., Sen Ś., and Homsi R.
JMIR Form Res. 2021, 5(12): e30578.
Speeding Up eQTL Scans in the BXD Population Using GPUs.
Trotter C., Kim H., Farage G., Prins P., Williams R.W., Broman K.W., and Sen Ś.
G3. 2021, 11(12), jkab254.
Importance of Multiple Reinforcing Comments and Areas for Change in Optimizing Dietary and Exercise Self-Monitoring Feedback in Behavioral Weight Loss Programs: Factorial Design.
Krukowski R.A., Kim H., Stansbury M., Li Q., Sen Ś., Farage G., and West D.S.
J Med Internet Res. 2020, 22(10): e18104.
Sustainability in the Stochastic Ramsey Model.
Bhattacharya R.N., Kim H., and Majumdar M.
J Quant Econ. 2015, 13(2):169-184.
- Contact Information
- Hyeonju Kim
- (870) 543-7121
- Expertise
-
ExpertiseApproachDomainTechnology & DisciplineToxicology