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  1. Science & Research (NCTR)

Hyeonju Kim Ph.D.

Visiting Scientist — Division of Bioinformatics and Biostatistics

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Hyeonju Kim, Ph.D.
(870) 543-7121

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About  |  Publications


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
2015 – Present

Institute for Mathematical Statistics
2015 – Present

Society for Industrial and Applied Mathematics
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
Technology & Discipline
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