🎉 Happy New Year!

Thoughts and Goals for 2026
Author
Affiliation

Sam Foreman

ALCF

Published

January 7, 2026

Modified

January 9, 2026

I’d like to try and post more this year.

Ideally these would be less-polished, more-frequent updates on what I’m thinking about / working on.

Ongoing Projects

  • AuroraGPT: Large Language Models for Scientific Applications on leadership-class supercomputers.

    Additional details can be found in some of my recent talks:

  • AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions (Hatanpää et al. ()).

    Foundation models for Earth system science, pushing on coupled modeling, uncertainty, and long-horizon prediction. Additional details can be found in some of my recent talks:

  • 🍋 ezpz: A growing collection of utilities for launching, instrumenting, and debugging distributed jobs on real HPC systems.
    This started as glue code and turned into infrastructure. A dedicated post is coming.

  • Genesis Project

    • The American Science Cloud (AmSC): A Platform for Transformative Science

      More info

      Cornerstone of the Genesis Mission’s Platform infrastructure, hosting and distributing AI models and scientific data to the broader research community. AmSC will enable the National Labs, industry, and research partners to curate and apply DOE’s extensive AI-ready scientific data.

    • The Transformational AI Models Consortium (ModCon): Cornerstone of the Genesis Mission’s AI models and data efforts,

      More info

      Cornerstone of the Genesis Mission’s AI models and data efforts, will build and deploy self-improving AI models that advance science, engineering, and energy missions by harnessing DOE’s unique data, facilities, and expertise. Selected teams will develop foundational capabilities needed across multiple scientific and engineering domains.

Additional Involvements

  • DeepSpeed Technical Steering Committee

  • CPSC: Member of the Coordinating Panel for Software and Computing

    More info

    The Coordinating Panel for Software and Computing (CPSC) serves as a forum for the U.S. high energy physics (HEP) community to address shared challenges in scientific computing.

    Hosted by the Division of Particles and Fields (DPF) of the American Physical Society(APS), the panel brings together researchers, developers, institutions, and industry partners to strengthen the software and computing ecosystem that underpins modern HEP research. Through coordination, advocacy, and community-building, CPSC works to foster innovation, support career development, and ensure the computing infrastructure evolves to meet the demands of current and future experiments.

References

Hatanpää, Väinö, Eugene Ku, Jason Stock, Murali Emani, Sam Foreman, Chunyong Jung, Sandeep Madireddy, et al. 2025. “AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions.” https://arxiv.org/abs/2509.13523.

Footnotes

  1. More on this soon!↩︎

  2. Roadmap discussion↩︎

Citation

BibTeX citation:
@online{foreman2026,
  author = {Foreman, Sam},
  title = {🎉 {Happy} {New} {Year!}},
  date = {2026-01-07},
  url = {https://samforeman.me/posts/2026/01/07/},
  langid = {en}
}
For attribution, please cite this work as:
Foreman, Sam. 2026. “🎉 Happy New Year!” January 7, 2026. https://samforeman.me/posts/2026/01/07/.