Research

Summary

• I am broadly interested in the statistical methodology and machine learning techniques dealing with challenges in medical decision makings.

• Method and Application: treatment recommendation based on patient-level information, identifying signals and biomarkers from high-dimensional data, machine learning methods for medical decision makings.

• Theory: Semi-parametric Inference, high-dimensional inference, causal inference, and machine learning.

• Collaboration and Scientific Research: Cancer therapeutic and preventive intervention, mHealth and its impact, interventions for diabetic patients.