Multi-site causal inference comparing cardiovascular outcomes of GLP-1 receptor agonists and DPP-4 inhibitors. Uses negative control outcomes for bias correction and factor model approaches for unmeasured confounding.
Characterizing patterns of lab test ordering in ICU settings across Penn Medicine. Combines DuckDB pipelines with CCSR diagnostic classification to identify high-frequency testing patterns.
Leveraging real-world EHR data and federated distributed algorithms to identify drug candidates for Alzheimer’s disease and related dementias. Collaboration across major academic medical centers.
Causal analysis using T-learner (XGBoost) methods to decompose telemedicine’s effect on follow-up care into behavioral pathways (convenience vs. escalation) across high-virtualizability clinical domains.