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

1. Diffusion Non-Additive Model for Multi-Fidelity Simulations with Tunable Precision
   Heo, J., Boutelet, R., and Sung, C.-L. (2025+)
   Submitted.

2. Fast and Accurate Emulation of Complex Dynamic Simulators
   Heo, J. (2025+)
   Submitted.

3. 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.

4. 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)
     
     
5. 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.

Softwares

• DNAmf: Diffusion Non-Additive Model with Tunable Precision
• dynemu: Emulation of Dynamic Simulators via One-Step-Ahead Approach
• RNAmf: Recursive non-additive emulator for multi-fidelity data