AI4BIO Seminar with Professor Jure Leskovec, Stanford University скачать в хорошем качестве

AI4BIO Seminar with Professor Jure Leskovec, Stanford University

AI4BIO Seminar featuring Professor Jure Leskovec, Professor of Computer Science in Stanford University on November 7, 2025. Talk Title: From Relational Foundation Models to the AI Virtual Cell: Building the Next Generation of Intelligent Systems Hosted by: Jian Ma, Ray and Stephanie Lane Professor of Computational Biology Abstract: Foundation Models have transformed learning from unstructured data, but the world’s structured and relational data—driving decisions in enterprises and science—remain underutilized. I will present Relational Foundation Models (RFMs), a new class of pre-trained models that enable in-context learning over relational data, predicting outcomes such as engagement, churn, or fraud without supervision or feature engineering. RFMs combine table-agnostic embeddings, relational transformers, and SQL-like prompting to turn predictive AI from model-building into querying. Extending these ideas to biology, I will introduce the AI Virtual Cell (AIVC)—a large neural model that represents and simulates molecular and cellular behavior, offering a new paradigm for data-driven biological discovery. Finally, I will discuss Biomni, a general-purpose biomedical AI agent that autonomously plans and executes complex scientific workflows across diverse biomedical domains, acting as a virtual AI biologist that accelerates research and discovery. Together, these efforts outline a vision for foundation models that reason, simulate, and collaborate across structured, relational worlds—from enterprises to living cells. This seminar is brought to you by The Center for AI-Driven Biomedical Research (AI4BIO) in Carnegie Mellon University. More information at cmu.edu/ai4bio.