Learning objectives

1. Explain how Paper2Agent converts papers, code, and data into interactive AI agents.
2. Understand how MCP servers connect scientific workflows to natural-language interfaces.
3. Describe how automated testing and reproduction of published results support agent reliability.
4. Explore applications in variant interpretation, single-cell and spatial transcriptomics, and collaborative

Speaker Bio

Jiacheng Miao is a HAI Postdoctoral Fellow at Stanford University, working with Jonathan Pritchard and James Zou. His research focuses on agentic AI for biomedical and therapeutic discovery, including converting scientific knowledge into interactive agents, enabling collaboration among AI agents, and developing safeguards for reliable scientific analysis. His work spans AI methods, statistical inference, and human genetics. He is a recipient of the NOMIS & Science Young Explorer Award.

Registration

The seminar will be held by Zoom on December 16, 2026 at 11am EST. Please use this Google Forms link to register.