Research

Summary

• I am interested in developing statistical methodologies and machine learning techniques to address challenges in realizing personalized/individualized decision-making in practice. 

• AI/ML Method and Application: personalized decision-making with applications to treatment recommendation and tailored intervention, interpretable/responsible artificial intelligence (AI), and AI/ML methods with applications to electronic health records.

• Theory: decision theory, semi-parametric inference, causal inference, and statistical learning.

• Collaborative Research: cancer therapeutic and preventive intervention, sepsis, and biomedical informatics.