Affiliation: Carnegie Mellon University, School of Computer Science

Jingjie is a student in the School of Computer Science at Carnegie Mellon University. His research focuses on AI for science, particularly the development of automated research and agentic AI methods that support scientific discovery, hypothesis generation, experimental planning, and evidence-based model improvement. His work explores how large language models, retrieval-augmented generation, agentic search, and multi-agent reasoning can be applied to scientific research workflows, including biomedical discovery, cheminformatics, and computational science. At CMU, he has contributed to research on Deep Research evaluation, neural retrieval, and automated scientific reasoning systems over large-scale corpora. He has also worked on drug–GPCR interaction prediction and interpretable AI models for molecular and protein data. Prior to CMU, he worked as a senior data scientist at Tencent.