Dr. Shi is interested in developing novel statistical methods that provide insights from high volume and high variability administrative healthcare data such as electronic health records (EHR) and claims data. She develops scalable and automated pipelines for curation and harmonization of EHR data across healthcare systems. She also develops causal inference methods that harness the full potential of EHR data to address comparative effectiveness and safety questions. She co-leads the Causal Inference Core of the FDA’s Sentinel Initiative Innovation Center to develop statistical methods to monitor the safety of FDA-regulated medical products and explore novel ways to utilize information from distributed EHR data partners.