
Current Research Interest
Dr. Chen’s main research interest lies in developing statistical and machine learning methods to facilitate precision medicine. She is interested in integrating evidence from multiple data domains and data resources to address patient heterogeneity and study individualized treatment strategies to improve treatment response. She is also interested in dynamic treatment regimes to promote recurrent disease control and management. Adaptive personalized intervention strategies can be tailored utilizing patients’ longitudinal or time series data, e.g., data from sequential multiple assignment randomized trials, electronic health record data, and mobile health data, with careful causal justifications. Recently, she also worked on spatial-temporal models to understand COVID-19 transmission and risk factors. Dr. Chen collaborates with investigators in the Breast Medicine Service for design and analysis of retrospective and prospective studies.