index.qmd

---
date: today
modified: last-modified
author: "Sam Foreman"
site-url: "https://samforeman.me"
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---

::: {style="font-size:1.0em; text-align: center;"}

[![](./assets/avatar.webp)]{.profile-avatar style="width: 100%; border: 0px solid var(--bg-border)!important;"}

[[👋 Hi, I'm Sam!]{.dim-text} [[{{< ai orcid >}}]{.orcid-green style="background: none!important;"}](https://orcid.org/0000-0002-9981-0876)]{style="font-size: 1.5rem; color: var(--dim-text)!important; padding-bottom: 0pt; font-family: 'IBM Plex Sans Condensed'; font-weight: 400;"}

::: {style="display: flex; flex-direction: row; align-items: center; text-align: center!important; justify-content: center; background-color: var(--link-bg-color);"}

[[{{< iconify ph house inline=true >}}]{.icon .dim-text style="font-size: 1.5rem; padding-right:0pt;"}](https://samforeman.me)
[[{{< iconify ph github-logo inline=true >}}]{.icon .dim-text style="font-size: 1.5rem; padding-right:0pt;"}](https://github.com/saforem2/)
[[{{< iconify ph twitter-logo inline=true >}}]{.icon .dim-text style="font-size: 1.5rem; padding-right:0pt;"}](https://www.twitter.com/saforem2)
[[{{< iconify ph envelope-open inline=true >}}]{.icon .dim-text style="font-size: 1.5rem; padding-right:0pt;"}](mailto:///foremans@anl.gov)
[[{{< iconify ph graduation-cap inline=true >}}]{.icon .dim-text style="font-size: 1.5rem; padding-right:0pt;"}](https://scholar.google.com/citations?user=vV_1zDwAAAAJ&hl=en)
[[{{< iconify ph spotify-logo inline=true >}}]{.icon .dim-text style="font-size: 1.5rem; padding-right:0pt;"}](https://open.spotify.com/user/saforem2)
[[{{< iconify ph lastfm-logo inline=true >}}]{.icon .dim-text style="font-size: 1.5rem; padding-right:0pt;"}](https://www.last.fm/user/saforem2)
[[{{< iconify ph linkedin-logo inline=true >}}]{.icon .dim-text style="font-size: 1.5rem; padding-right:0pt;"}](https://linkedin.com/in/saforem2)
[[{{< iconify ph calendar-plus inline=true >}}]{.icon .dim-text style="font-size: 1.5rem; padding-right:0pt;"}](https://outlook.office.com/bookwithme/user/450ab3e5d58a4e7f84c802cc4c7205e6@anl.gov?anonymous&ep=plink)

:::

:::

::: {.panel-tabset style="justify-content: center;"}

### 🧑🏻‍💻 About {#sec-about}

{{< include about/_about.qmd >}}

::: {.callout-tip icon=false aria-title="Status" title='[❤️‍🩹 Status]{.dim-text}' collapse="true" style="text-align: left!important; width:100%; background-color:rgba(131,131,131,0.05)!important; border: 1px solid rgba(131,131,131,0.0); opacity:100%;"}

- <details closed><summary>👀 <strong>If you're curious</strong></summary>  

  - <details closed><summary>🔥 What I work on</summary>

    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:

    ::: {.flex-container}

    ::: {.flex-container}

    - 🤖 🧪 [AI + Science](https://github.com/saforem2/)

    - 🎲 [Building better sampling methods for Lattice QCD](https://github.com/saforem2/l2hmc-qcd)

    - 🧬 [Genome-Scale Language Models](https://www.biorxiv.org/content/10.1101/2022.10.10.511571v2)

        - [{{< iconify logos github-octocat >}} GenSLM](https://github.com/ramanathanlab/genslm)

        - 🥇 [ACM Gordon Bell Special Prize](https://www.acm.org/media-center/2022/november/gordon-bell-special-prize-covid-research-2022)

    :::

    ::: {.flex-container}

    - 🌍 [Foundation models for long term climate forecasting](https://saforem2.github.io/climate-analysis)

    - 🏃‍♂️ [Scaling Large Language Models](https://github.com/argonne-lcf/Megatron-DeepSpeed)

    - 🏎️ [Distributed training across thousands of GPUs](https://github.com/argonne-lcf/mlprof)

    :::

    :::

    </details>

  - <details closed><summary>📍 How I got here</summary>

    [NOTE: Update the **NEW** text below !!]: #

    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, I'm interested in building gauge
    equivariant neural network architectures and using inductive priors to
    incorporate physical symmetries into machine learning models.

    I received my PhD in Physics from the University of Iowa in 2019 and my thesis
    was on [Learning Better Physics: A Machine Learning Approach to Lattice Gauge
    Theory](https://iro.uiowa.edu/esploro/outputs/doctoral/Learning-better-physics-a-machine-learning/9983776792002771).

    Prior to this, I completed two bachelors degrees (Engineering Physics and
    Applied Mathematics, 2015) at The University of Illinois at
    Urbana-Champaign. My undergraduate dissertation was titled [Energy
    Storage in Quantum
    Resonators](https://aip.scitation.org/doi/10.1063/1.5009698) and was
    supervised by Professor [Alfred
    Hübler](https://en.wikipedia.org/wiki/Alfred_H%C3%BCbler) within the
    Center for Complex Systems Research at UIUC.

    This work ultimately resulted in a [patent](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=vV_1zDwAAAAJ&pagesize=80&citation_for_view=vV_1zDwAAAAJ:SeFeTyx0c_EC) !!

    </details>

</details>


[yellow]{.highlight} [pink]{.highlight-pink}
[green]{.highlight-green} [blue]{.highlight-blue}
[circle]{.circle-sketch-highlight}

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import datetime
from rich import print
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::: {style="text-align:center;"}
[© Copyright [Sam Foreman](https://samforeman.me)]{.dim-text}

<img src='https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fsamforeman.me&count_bg=%23838383&title_bg=%23303030&icon=&icon_color=%23E7E7E7&title=hits&edge_flat=false'>
:::

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### 📝 Work

::: {.callout-note collapse=true icon=false title="" style="background-color: oklch(from var(#4582ec) calc(l * 1.15) c h / 0.1);"}
[You can find a full list of my publications on my [Google Scholar](https://scholar.google.com/citations?user=vV_1zDwAAAAJ&hl=en)]{style="color:#4582ec;"}
:::

{{< include about/_work.qmd >}}

### 🦜 Talks

<!-- ::: {.callout-tip collapse=true icon=false title="" style="background-color: oklch(from var(#03A669) calc(l * 1.15) c h / 0.1);"} -->
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::: {.callout-note collapse=true icon=false title=""}
See 'em all, live: [Talks](/talks/index.qmd)
:::

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Convert from HTML to slideshow version of a page by appending `/slides` to the
end of its URL, e.g.

- HTML: <https://samforeman.me/talks/ai-for-science-2024/>
- Slides: <https://samforeman.me/talks/ai-for-science-2024/slides>

:::

::: {#listing-talks}
:::

{{< include talks/_talks.qmd >}}

### 📬 Posts

::: {#listing-posts}
:::

### 📦 Projects

{{< include about/_projects.qmd >}}

### 🪖 Experience

{{< include about/_experience.qmd >}}

### 🎶 Music

{{< include about/_music.qmd >}}

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