The research laboratory of Dr. Tao in the Department of Artificial Intelligence and Informatics is seeking a highly motivated Research Fellow to join an interdisciplinary program at the forefront of healthcare AI innovation. This role focuses on developing and deploying cutting-edge artificial intelligence methodologies, including ontology-driven knowledge representation frameworks, advanced Natural Language Processing (NLP), Large Language Models (LLMs), agentic AI systems, multimodal deep learning to address complex biomedical and clinical challenges across translational research and patient care.

The Research Fellow will play a central role in advancing AI-driven discovery, contributing to the design of scalable, agent-based architectures for clinical reasoning, virtual trial, and AI-based clinical decision support, while also developing and evaluating biomedical ontologies that enable interoperable, computable, and semantically rich data integration. This work will su...