Jingyan (Jane) Jiang is a Predoctoral Appointee for AI services in the AI/ML Group at the Argonne Leadership Computing Facility (ALCF). Her work focuses on AI infrastructure, large-scale data preparation for LLM training, and AI-driven user support systems for high-performance computing environments.

Her research interests include scalable data pipelines, retrieval-augmented generation (RAG), information retrieval, knowledge graphs, and data management for AI at scale. At Argonne, she has designed end-to-end ETL pipelines and developed LLM-based systems to transform unstructured data into structured, training-ready datasets. She has received multiple Argonne Impact Awards for innovation and extraordinary effort in data infrastructure and applied AI.

Jingyan holds a Master of Information Systems Management from Carnegie Mellon University.

Google Scholar: https://scholar.google.com/citations?hl=en&user=flVDkmoAAAAJ