Xu selected for Anthropic AI for Science program
Ziqi Xu, a doctoral student in Chenyang Lu’s lab, to explore how AI can support reliability in clinical workflows
Ziqi Xu, a doctoral student in the Department of Computer Science & Engineering in the McKelvey School of Engineering at Washington University in St. Louis, has been selected for Anthropic's AI for Science program, a new initiative designed to accelerate research and discovery.
The program offers participants significant application programming interface (API) credits over a six-month period, granting them access to Claude large language models (LLMs) to accelerate scientific discovery. Researchers are selected based on their contributions to science, the potential impact of their proposed research, and AI’s ability to meaningfully accelerate their work, with a particular focus on biology and life sciences applications.
Xu’s proposal, "When Should Clinical AI Agents Act? Uncertainty-Aware Delegation for Reliable Decision-Making,” explores how uncertainty-aware AI agents can coordinate specialized models to support more reliable decision-making in clinical workflows.
A doctoral candidate, Xu works in the AI for Health Institute with director Chenyang Lu, the Fullgraf Professor in the Department of Computer Science & Engineering. Lu, an internationally recognized leader in AI for health and cyber-physical systems, focuses on developing machine learning models to predict health outcomes using multimodal data, advancing both precision medicine and public health.
Xu earned a bachelor’s degree in computer science and mathematics from WashU in 2022. As an undergraduate, she conducted research under the guidance of Lu with a focus on machine learning for healthcare.
