Research · Publications · Scientific Work

CDEAtlas: Interactive Visualization and Exploration of Common Data Elements at Scale

A first-author poster at the AMIA 2026 Amplify: Informatics Summit presenting CDEAtlas, an interactive visualization system for large-scale exploration of NIH Common Data Elements.

Designing a Visual Analytics Dashboard to Streamline Collaborative Common Data Element Mapping

A first-author poster presented at AMIA 2025, showcasing a clinical NLP dashboard that streamlines concept mapping and improves interpretability for researchers and clinicians.

CDEMapper: enhancing National Institutes of Health common data element use with large language models

A JAMIA-published study introducing CDEMapper, an LLM-powered tool that combines semantic search, GPT-based recommendations, and human-in-the-loop review to map local data elements to NIH Common Data Elements.

I contributed to evaluation workflows, system usability assessment, and visualization design for the CDE mapping pipeline.

Information Extraction from Clinical Notes: Are We Ready to Switch to Large Language Models?

A JAMIA study evaluating whether LLMs (LLaMA 3, GPT-4o) can replace BERT-based systems for clinical information extraction. Across two institutions, LLMs achieved up to 7% higher F1 on NER and 4% on relation extraction, with improved cross-institutional generalization.

I contributed to model evaluation workflows and visualization design for cross-institutional benchmarking within the Yale Biomedical Informatics & Data Science group.