Research Interests

My current research interest includes:

• High dimensional statistics: estimation, model selection and inference for static or dynamic high dimensional structures, including sparse PCA/CCA, robust low rank matrix recovery, change point detection in high dimensional regression, etc.

• Causal inference: design and analysis of randomized experiments, complex causal mechanisms (such as interference, sorrogacy, delay, unstructured treatments), novel causal methodology (such as data fusion)

• Learning and computing: statistical learning/machine learning, reinforcement learning, deep learning, GenAI

• AI policy/ethics: privacy and fairness in statistical related methodology and practice.

• Statistical application: marriage between stats and biomedical study, social science, psychology, econ, etc.