Research

// Projects & Collaboration

Active Research Programs

We welcome collaborations across institutions. Below is a summary of ongoing and completed projects using the PDA framework.

Federated Tensor Train Decomposition for CAR Logistic Regression

Novel federated framework incorporating Tensor Train decomposition for high-dimensional covariate adjustment in distributed logistic regression. Deployed across GLP-1, SGLT2, and DPP4 treatment comparisons.

Methods Federated ML

Multi-Agent LLM Research Framework

Exploring ring and star topologies for multi-agent AI systems in biomedical research contexts, with focus on agent disagreement mechanisms and mitigating hallucination in evidence synthesis.

Exploratory AI/ML

Telemedicine & Elastic Utilization

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.

Active Health Economics

ADRD Drug Repurposing Initiative

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.

Active Neurology

COVID-19 Vaccine Safety Surveillance

Self-controlled case series analysis of adverse cardiac events following mRNA vaccination, implemented as a federated SCCS model deployable across multiple health systems.

Completed Epidemiology

COMPASS: ICU Lab Test Utilization

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.

Active Critical Care

Federated Pharmacovigilance: GLP-1RA vs. DPP4i

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.

Active Causal Inference