Become a sponsor to Sam Foreman
👋 Hi, I'm Sam!
I’m a Computational Scientist in the Leadership Computing Facility at Argonne National Laboratory
My background is in computational high-energy physics, specifically working on MCMC methods for Lattice Quantum Chromodynamics (lattice QCD)
I'm generally interested in the application of machine learning to computational problems in physics, particularly within the context of high performance computing.
Featured work
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saforem2/l2hmc-qcd
Application of the L2HMC algorithm to simulations in lattice QCD.
Jupyter Notebook 64 -
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Python 34,423 -
Jupyter Notebook 160
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saforem2/personal_site
My personal website
Python 4 -
ramanathanlab/genslm
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
Python 115 -
saforem2/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Python 2