Jingyi Cui is a Senior Data Scientist at Harvey AI, where she leads data science initiatives for the company’s Agent Platform and AI Assistant. Her work focuses on evaluating and improving large language model systems, developing agentic product capabilities, and optimizing retrieval and reasoning for complex legal and corporate use cases.
Previously, Jingyi held data science roles at Meta and Cornerstone Research, where she built analytics frameworks, developed AI-powered tools, and applied data science to infrastructure reliability and high-stakes litigation. She also won the Best Overall Prize at the inaugural Stanford LLM x Law Hackathon. Jingyi graduated from UC Berkeley with degrees in Applied Mathematics and Economics.