Zhi Huang

Dr. Zhi Huang serves as an Instructor and incoming Assistant Professor in the Department of Pathology and Laboratory Medicine, with a secondary appointment in the Informatics Division of the Department of Biostatistics, Epidemiology, and Informatics. His academic work bridges biomedical research with artificial intelligence to advance healthcare solutions.

His research expertise spans critical areas in medical AI:

• Biomedical AI: Developing AI models for clinical decision support
• Human-AI Collaboration: Designing intuitive interfaces for clinician-AI teamwork
• Medical Image Platforms: Creating scalable infrastructure for medical imaging analysis
• Digital Pathology: Implementing AI-driven tissue analysis systems
• Precision Medicine: Tailoring treatments using genomic and clinical data integration

Analysis of his publication record reveals a strong interdisciplinary trajectory connecting computer vision, multi-agent systems, and clinical applications. His work demonstrates consistent innovation in translating autonomous systems research—particularly in scene graph generation, motion planning, and visual question answering—into medical contexts including digital pathology platforms and precision diagnostics. Recent contributions emphasize open-source frameworks for accessible medical AI development.