Data Analysis and Machine Learning for Physics Workshop

The workshop on Topological Data Analysis and Machine Learning for Physics, held in Taipei from May 6–8, 2026, brings together leading researchers working at the intersection of modern data science and fundamental physics. The speakers span a wide range of topics — from topological data analysis in gauge theories and QCD, to machine learning techniques for particle physics including jet tagging, generative inference, and diffusion models, to applications in lattice field theories, quantum computing and condensed matter. The workshop aims to foster cross-disciplinary dialogue and chart new directions for data-driven approaches in theoretical and experimental physics.

Invited speakers: