Research Interests

• Causal inference / experimental design
• High-dimensional data analysis
• Monte Carlo methods
• Time series
• Nonparametrics

Research Projects

• Theoretical properties of the Horvitz-Thompson estimator for causal inference in the presence of interference from a perspective of sampling and the optimal designs along with a sample size calculation.
• The optimal randomized saturation design for total treatment effect under interference using the difference-in-means estimator and the optimal deterministic saturation design.
• Matrix factorization and approximation using Kronecker products with automated determined configurations.
• Efficient Sequential Monte Carlo algorithms for constrained sampling problem and for high-dimensional optimizations though state-space emulation.
• Individualized Group Learning: individualized/personalized inference from a heterogeneous population.