Patrick Wang

Patrick Wang serves as an Adjunct Associate Professor in the Department of Electrical and Computer Engineering at Duke University, teaching courses including IDS 703 Introduction to Natural Language Processing. His primary contact email is patrick.wang@duke.edu.

His research spans two major domains: biomedical informatics and computer vision. In biomedical informatics, he specializes in knowledge graph construction (notably ROBOKOP and Biomedical Data Translator systems), biomedical data integration, and hypothesis generation for environmental health and pandemic response. His computer vision work focuses on radar-based systems, autonomous driving algorithms, and object detection techniques leveraging physics-based modeling and camera geometry. Key methodologies include federated data systems, real-time tracking, and spatial resolution optimization.

Analysis of his 15 most recent publications reveals a strategic pivot from computer vision (2010-2017) toward biomedical informatics (2018-2022). Early work centered on radar systems and autonomous driving with monocular video, while recent output emphasizes knowledge graphs for COVID-19 data integration, environmental health observations, and universal biomedical data translation. The ROBOKOP framework appears consistently across recent publications, indicating it as his flagship project for federated biomedical knowledge systems.

No scientific awards were documented in the provided source material.

While his course IDS 703 confirms NLP instruction, no student advising relationships or research grants were specified in the available information. The adjunct position suggests industry collaboration potential, though specific partnerships remain unreported.