Arriving to Cornell Tech in July 2027, Weijia Shi is an assistant professor of computer science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science.
Shi’s research develops augmented and modular architectures and training algorithms that make language models more controllable, collaborative, and factual. Her work has advanced methods for helping AI systems use external tools and specialized models, improving their ability to access information, identify knowledge gaps, and reduce hallucinations. She has also developed widely used AI models and techniques that have been adopted by researchers and integrated into platforms such as Databricks MosaicML, LlamaIndex, and LangChain.
Her work received an Outstanding Paper Award at ACL 2024, and she was named a Rising Star in Machine Learning in 2023 and in Data Science in 2024. She earned her Ph.D. from the University of Washington.