Ziyuan Huang

Ziyuan Huang is a Postdoctoral Associate in Emergency Medicine and the Program in Microbiome Dynamics. Their research focuses on applying deep learning and data sciences to healthcare challenges, particularly Alzheimer’s disease and microbiome dynamics. They hold an MS in Analytics (2017) and a PhD in Data Sciences (2023) from Harrisburg University of Science and Technology.

Research Interests: Huang specializes in integrating large language models (LLMs) and artificial neural networks (ANNs) to address healthcare and financial sector challenges. Their work includes pioneering Alzheimer’s disease research using LLMs, advancing 3D medical image segmentation, and exploring tumor microenvironment analysis via deep learning frameworks. They also investigate genetic networks in plants and cybersecurity applications like insider threat detection.

Recent Articles Trends: Huang’s recent publications emphasize AI-driven healthcare solutions, cancer prognosis modeling, and ecological data analysis. They bridge computational methods with biomedical and environmental systems, showcasing interdisciplinary innovation.

Lab Affiliation: John Haran Lab, where they contribute to projects like the Application of LLMs for Alzheimer’s progression analysis.