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title: β More
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Sam Foreman
- [More](#more)
- [Time Tracking](#time-tracking)
## More
> [!TIP] π₯ What I Work on
>
> As a member of the [AI / ML
> Group](https://www.alcf.anl.gov/about/people/group/506) at
> [ALCF](https://alcf.anl.gov), I work on:
>
>
>
>
>
> - π€ π§ͺ [AI + Science](https://github.com/saforem2/)
> - π² [Building better sampling methods for Lattice
> QCD](https://github.com/saforem2/l2hmc-qcd)
> - 𧬠[Genome-Scale Language
> Models](https://www.biorxiv.org/content/10.1101/2022.10.10.511571v2)
> - [ GenSLM](https://github.com/ramanathanlab/genslm)
> - π₯ [ACM Gordon Bell Special
> Prize](https://www.acm.org/media-center/2022/november/gordon-bell-special-prize-covid-research-2022)
>
>
>
>
>
> - π [Foundation models for long term climate
> forecasting](https://saforem2.github.io/climate-analysis)
> - πββοΈ [Scaling Large Language
> Models](https://github.com/argonne-lcf/Megatron-DeepSpeed)
> - ποΈ [Distributed training across thousands of
> GPUs](https://github.com/argonne-lcf/mlprof)
>
>
>
>
> [!TIP] π How I got here
>
> My [current research](https://saforem2.github.io/l2hmc-qcd) focuses on
> using deep generative modeling to help build better sampling
> algorithms in lattice gauge theory. In particular, Iβm interested in
> building gauge equivariant neural network architectures and using
> inductive priors to incorporate physical symmetries into machine
> learning models.
>
>