Welcome & Introduction

• Georg Hoffstaetter (Cornell)

Overview of polarized proton acceleration

• Vincent Schoefer (CAD)

Basis of Bayesian Optimization

• Yinan Wang

Overview of Uncertainty Quantification and application to p-p acceleration

• Natalie Isenberg (Computational Science Initiative)

Digital Twin Modeling With Bmad

• David Sagan (Cornell)

Preparation of accurate accelerator models for Booster and AGS

• Lucy Lin (Cornell University)

Where can Bayesian Optimization be applied in the p-p chain?

• Yuan Gao

ML experiences and their application to the p-p chain

• Auralee Edelen (SLAC/Stanford)

Ideas for improved emittance measurements

• Nathan Cook (RadiaSoft LLC)

How to connect ML ideas to the control system and a digital twin

• Kevin Brown (C-AD)

Overview of CESR and discussion of applicable ML ideas

• Antoine Chapelain (Cornell)

Discussion on major tasks and assignments for task leaders

• Georg Hoffstaetter (Cornell)
• Kevin Brown (C-AD)

Discussion on future schedules for weekly mtgs, machine studies, milestone mtgs, collaboration mtgs, DOE report preparations, publications

• Georg Hoffstaetter (Cornell)
• Kevin Brown (C-AD)