Gao Jing

Jing Gao is a Volunteer Adjunct Associate Professor in the Department of Computer Science and Engineering at Purdue University. Her research focuses on data mining, machine learning, and their applications in artificial intelligence, federated learning, natural language processing, and healthcare informatics. She has contributed significantly to ethical AI practices, including work on large language model copyright compliance, bias mitigation, and model efficiency.

• Key research areas: Knowledge editing, federated learning, causal inference, recommendation systems, and model interpretability
• Active in interdisciplinary projects involving healthcare analytics and privacy-preserving technologies

Her work bridges foundational machine learning theory with practical applications, emphasizing fairness, transparency, and scalability. She maintains an active Google Scholar profile and collaborates widely in the AI research community.