Presenter
Sam Foreman
Biography
I'm a computational scientist with a background in high energy physics at the ALCF.
I'm generally interested in the application of machine learning to computational problems in physics, particularly within the context of high performance computing.
My current research focuses on using deep generative modeling to help build better sampling algorithms for simulations in lattice gauge theory.
I'm generally interested in the application of machine learning to computational problems in physics, particularly within the context of high performance computing.
My current research focuses on using deep generative modeling to help build better sampling algorithms for simulations in lattice gauge theory.
Presentations
Chair of Sessions
Workshop
Applications and Application Frameworks
Artificial Intelligence/Machine Learning
Parallel Programming Methods, Models, Languages and Environments
W
Committee Roles
SC Workshop Organizer: HPPSS
SC Workshop Committee Member: HPPSS