I am a machine learning researcher, curious about the nature of intelligence. I’ve been fortunate to spend time at the University of Cambridge with Ferenc Huszár, the Max Planck Institute for Intelligent Systems with Bernhard Schölkopf, and interned at Meta FAIR in New York.

My work is guided by two intertwined questions:

1. How can principles from nature guide the design of learning systems?
   → This underpins my recent physics of learning programme.

2. How can we identify fundamental laws of nature directly from data?
   → This includes causal de Finetti line of work on the statistical foundations of causality and building a foundation model for in-context causal inference on scientific applications.

My long-term interest is AI + Science: helping build a physics-inspired mathematical theory of intelligence and using AI to accelerate scientific discovery.

Interested in collaborations? Email: sguo26v@gmail.com.

Prospective students. If you are interested in working with me on the science of AI and/or AI for Science, please email me with your CV and a short research statement. See current students and alumni.

News

• 2025-11-06 Invited Talk on Physis of Learning and Do-PFN at kausable.ai.
• 2025-10-31 Invited Friday Talk on Physics of Learning at Tübingen Link.
• 2025-10-22 Fireside Chat with Ploutos.ai on Physics of Learning, Stream available.
• 2025-09-25 Physics of Learning preprint on arXiv.
• 2025-09-16 Selected as MIT EECS Rising Star.
• 2025-09-19 Do-PFN accepted at NeurIPS 2025 as spotlight presentation, with acceptance rate 3.19%.
• 2025-07-17 Returning as the opening lecturer for Causality Day at the Cambridge Ellis Summer School 2025 following very positive participant feedback last year.
• 2025-05-27 Receives G-Research Ph.D Prize.
• 2025-01-22 Identifiable Exchangeable Mechanisms accepted at ICLR 2025 as spotlight presentation, with acceptance rate 5.1%.
• 2024-09-25 Do Finetti accepted in NeurIPS 2024 as oral presentation, with acceptance rate 0.46%.
• 2024-07-22 Starting research scientist intern at FAIR Meta, NYC.
• 2024-07-19 Invited to lecture at Cambridge Ellis Summer School 2024.
• 2024-07-05 Wins the MPI-IS Outstanding Female Doctoral Student Prize!!