WANG Wenjia

Education

• PhD. in Operations Research, The School of Industrial & Systems Engineering, Georgia Institute of Technology
• BS in Mathematics, Yuanpei College, Peking University

Research Interests

• Uncertainty Quantification
• Stochastic Simulation
• Machine Learning
• Nonparametric Statistics
• Computer Experiments

Awards and Honors

• NUS Presidential Young Professor

Selected Publications:

• Zhang, Q., & Wang, W. (2025). Sobolev Calibration of Imperfect Computer Models, Journal of the American Statistical Association, 120(549), 408-418.
• Wang, W., Wang, Y., & Zhang, X. (2024). Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions. Management Science, 70(12), 9031-9057.
• Wang, W., & Jing, B.-Y. (2022). Convergence of Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression. Journal of Machine Learning Research, 23(193):1−67, 2022.
• Tuo, R., & Wang, W. * (2020). Kriging Prediction with Isotropic Matérn Kernels: Convergence and Robustness. Journal of Machine Learning Research, 21(187), 1-38.
• Wang, W., Tuo, R., & Wu, C. F. J. (2020). On Prediction Properties of Kriging: Uniform Error Bounds and Robustness. Journal of the American Statistical Association, 115:530, 920-930.