Draft

Performance Appraisal 2025

Author
Affiliation
Published

September 22, 2025

Modified

September 23, 2025

Goals for Next Year (2026)

Goals from Last Year (2024)

Contributions to ALCF

  • AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions

  • MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design with DPO

  • AuroraGPT

    • Co-lead Models and Training team with Venkat Vishwanath
    • Ongoing writeup of pre-training efforts
    • Successfully pre-trained:
      • AuroraGPT-7B on 2T tokens
      • AuroraGPT-2B on 4T tokens (ongoing)
  • Catalyst for:

    • Arvind Ramanthan’s INCITE Project (FoundEpidem)
    • Zheng Zhang’s ALCC Project
    • Rao Kotamarthi’s ALCC Project
  • Member of Software Committee

  • Intro to HPC Undergraduate Bootcamp:

Publications

  1. AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions (Hatanpää et al. ())
  2. Aurora: Architecting Argonne’s First Exascale Supercomputer for Accelerated Scientific Discovery (Allen et al. ())
  3. HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights (Gokdemir et al. ())
  4. Automated Tuning for HMC Mass Ratios (Torsiello et al. ())
  5. MOFA: Discovering Materials for Carbon Capture with a GenAI and Simulation-Based Workflow (Yan et al. ())
  6. MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design with DPO (Dharuman et al. ())

Presentations

Posts

Organizational Efforts

Mentoring

  • Khalid Hossain: Supported Khalid’s successful transition from postdoc to staff
  • Joseph Frimpong: Postdoc in Center for Nanoscale Materials
  • Hung Nguyen: Graduate student @ UIUC

Scientific / Technical Accomplishments

References

Allen, Benjamin S., James Anchell, Victor Anisimov, Thomas Applencourt, Abhishek Bagusetty, Ramesh Balakrishnan, Riccardo Balin, et al. 2025. “Aurora: Architecting Argonne’s First Exascale Supercomputer for Accelerated Scientific Discovery.” https://arxiv.org/abs/2509.08207.
Dharuman, Gautham, Kyle Hippe, Alexander Brace, Sam Foreman, Väinö Hatanpää, Varuni K. Sastry, Huihuo Zheng, et al. 2024. “MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization.” In Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis. SC ’24. Atlanta, GA, USA: IEEE Press. https://doi.org/10.1109/SC41406.2024.00013.
Gokdemir, Ozan, Carlo Siebenschuh, Alexander Brace, Azton Wells, Brian Hsu, Kyle Hippe, Priyanka V. Setty, et al. 2025. “HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights.” https://arxiv.org/abs/2505.04846.
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.
Torsiello, J., G. T. Fleming, S. Foreman, X.-Y. Jin, and J. C. Osborn. 2025. “Automated Tuning for HMC Mass Ratios.” PoS. Argonne, ALCF; Argonne National Laboratory (ANL), Argonne, IL (United States); Temple U.; Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States). https://doi.org/10.22323/1.466.0052.
Yan, Xiaoli, Nathaniel Hudson, Hyun Park, Daniel Grzenda, J. Gregory Pauloski, Marcus Schwarting, Haochen Pan, et al. 2025. “MOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow.” https://arxiv.org/abs/2501.10651.

Footnotes

  1. 2025 ACM Gordon Bell Prize for Climate Modeling Finalist↩︎

  2. 🌟 2024 ACM Gordon Bell Finalist↩︎

Citation

BibTeX citation:
@online{foreman2025,
  author = {Foreman, Sam},
  title = {Performance {Appraisal} 2025},
  date = {2025-09-22},
  url = {https://samforeman.me/posts/drafts/2025/09/22/},
  langid = {en}
}
For attribution, please cite this work as:
Foreman, Sam. 2025. “Performance Appraisal 2025.” September 22, 2025. https://samforeman.me/posts/drafts/2025/09/22/.