Research
My research interests include computer experiments, multi-fidelity simulation, and uncertainty quantification, with applications in the physical, biological, and engineering sciences. Google Scholar
Publications
Influence of Prior Distributions on Gaussian Process Hyperparameter Inference
Mutoh, A., and Heo, J. (2025+)
Submitted.RNAmf and DNAmf: Recursive and diffusion non-additive emulators with active learning for multi-fidelity simulation in R
Heo, J., and Sung, C.-L. (2025+)
Submitted.Diffusion Non-Additive Model for Multi-Fidelity Simulations with Tunable Precision
Heo, J., Boutelet, R., and Sung, C.-L. (2025+)
Submitted.Fast and Accurate Emulation of Complex Dynamic Simulators
Heo, J. (2025+)
Submitted.Modeling With Uncertainty Quantification Identifies Essential Features of a Non-Canonical Algal Carbon-Concentrating Mechanism (news article)
Steensma, A. K., Kaste, J. A. M., Heo, J., Orr , D., Sung, C.-L., Shachar-Hill, Y., and Walker, B. J. (2025)
Plant Physiology, 197(2), kiae629.- Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments (news article)
Heo, J., and Sung, C.-L. (2025)
Technometrics, 67(1), 58-72.- Winner, INFORMS 2023 Quality, Statistics & Reliability Best Student Paper Competition
- Winner, 2024 ASA Student Paper Competition, Sections on Physical and Engineering Sciences (SPES) and Quality and Productivity (Q&P)
- Most downloaded paper in Technometrics (2024-2025)
- Bayesian information criterion accounting for the number of covariance parameters in mixed effects models
Heo, J., Lee, J. Y., and Kim, W. (2020)
Communications for Statistical Applications and Methods, 27:301-311.