This event is in the past.It took place on April 30, 2026 at Cory Hall.

Phiala Shanahan: Machine learning for sampling high-dimensional probability distributions in lattice field theory 1
Educational Talk
Phiala Shanahan: Machine learning for sampling high-dimensional probability distributions in lattice field theory 2
Phiala Shanahan: Machine learning for sampling high-dimensional probability distributions in lattice field theory 3
Phiala Shanahan: Machine learning for sampling high-dimensional probability distributions in lattice field theory 4
Phiala Shanahan: Machine learning for sampling high-dimensional probability distributions in lattice field theory 5

Phiala Shanahan: Machine learning for sampling high-dimensional probability distributions in lattice field theory

April 30 at 12pm

At Cory Hall

Northside, Berkeley

💻Join online via Zoom link in event details
🥪Brown-bag lunch format, eat while you learn
📧Contact [email protected] for accessibility needs

Hear how MIT physicist Phiala Shanahan is using machine learning to crack problems in quantum field theory that have stumped researchers for decades. This free talk dives into flow-based generative models and the elegant math behind preserving symmetries in high-dimensional spaces. Bring your lunch and your curiosity: it's rare to see frontier physics made this accessible.

Frontier physics research
Academic lecture
Free admission
Hybrid in-person & online