Sam Foreman 2024-11-08
- Computational scientist @ Argonne National Laboratory (ALCF)
- Working on:
- π§ͺ {AI, HPC} for science
- π training large models on supercomputers
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style="height:1.33rem; vertical-align: text-bottom;" /> Now Playing
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<script> /** Developed by Prashant Shrestha + https://prashant.me */ var lastfmData = { baseURL: "https://ws.audioscrobbler.com/2.0/?method=user.getrecenttracks&user=", // Your Last.fm Username user: "saforem2", // Your API key api_key: "1dbc15037c1fe71ce06acbb3f73adc75", additional: "&format=json&limit=1" }; var getSetLastFM = function() { $.ajax({ type: "GET", url: lastfmData.baseURL + lastfmData.user + "&api_key=" + lastfmData.api_key + lastfmData.additional, dataType: "json", success: function(resp) { var recentTrack = resp.recenttracks.track[0]; var formatted = // "" + recentTrack.name; "πΆ " + recentTrack.name; $("a#tracktitle") .html(formatted) .attr("href", recentTrack.url) .attr("title", recentTrack.name + " by " + recentTrack.artist["#text"]) .attr("target", "_blank"); var artistFormatted = // "" + recentTrack.artist["#text"]; "π£οΈ " + recentTrack.artist["#text"]; $("a#trackartist") .html(artistFormatted) .attr("title", "Artist : " + recentTrack.artist["#text"]); $("img#trackart").attr("src", recentTrack.image[2]["#text"]); }, error: function(resp) { $("a#tracktitle").html( "" + "Silence!" ); $("img#trackart").attr("src", "π§π»βπ»"); var artistFormatted = "Sam Foreman"; $("a#trackartist") .html(artistFormatted) .attr("href", "https://samforeman.me"); } }); }; // Get the new one. getSetLastFM(); // Start the countdown. setInterval(getSetLastFM, 10 * 5000); </script>
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π If youβre curious
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π How I got here
My current research 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.
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.
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 and was supervised by Professor Alfred HΓΌbler within the Center for Complex Systems Research at UIUC.
This work ultimately resulted in a patent !!
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import datetime from rich import print now = datetime.datetime.now() day = now.strftime("%Y-%m-%d") time = now.strftime("%H:%M:%S") print(' '.join([ "[#838383]Last Updated[/]:", f"[#E599F7]{day}[/]", "[#838383]@[/]", f"[#00CCFF]{time}[/]" ]))Last Updated: 2024-11-08 @ 13:46:11Β© Copyright Sam Foreman
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You can find a full list of my publications on my Google Scholar
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Intro to HPC Bootcamp: Engaging New Communities Through Energy Justice Projects
Journal of Computational Science, 2024 -
Thorough Characterization and Analysis of Large Transformer Model Training At-Scale
Proc. ACM Meas. Anal. Comput. Syst. 03/2024 -
MLMC: Machine Learning Monte Carlo for Lattice Gauge Theory
S. Foreman et al.Β Lattice, 2023 (Proceedings), 12/2023 -
Protein Generation via Genome-scale Language Models with Bio-physical Scoring
@ SCβ23, 11/2023 -
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery [β¦]
@ NeurIPS 2023 AI For Science Workshop, 10/2023 -
Comprehensive Performance Study of LLMs on Novel AI Accelerators
M. Emani, S. Foreman, et al., IPDPS 2024, 10/2023 -
Exploratory Analysis of Climate Data with
ClimRR
S. Foreman, Intro to HPC Bootcamp @ NERSC, 08/2023 -
π GenSLMs: Genome-scale language models reveal SARS-Cov-2 evolutionary dynamics
@ SCβ22 10/2022 -
Lattice QCD and Particle Physics
A.S. Kronfeld et al., 07/2022 -
Applications of ML to Lattice QFT
D. Boyda, S. CalΓ, S. Foreman, et al., [arXiv:2202.05838], 02/2022 -
LeapFrogLayers: Trainable Framework for Effective Sampling
S. Foreman, X.Y. Jin, J.C. Osborn, Lattice, 2021 -
HMC with Normalizing Flows [slides]
S. Foreman et al., Lattice, 2021 -
Deep Learning Hamiltonian Monte Carlo [+ poster]
S. Foreman, X.Y. Jin, & J.C. Osborn, @ SimDL Workshop @ ICLR, 2021 -
Machine Learning and Neural Networks for Field Theory
S. Foreman, X.Y. Jin, & J.C. Osborn, SnowMass, 2020 -
Examples of renormalization group transformations for image sets
S. Foreman et al., Physical Review E., 2018 -
RG inspired Machine Learning for lattice field theory
S. Foreman et al., arXiv:1710.02079, 2017 -
Large Energy Density in Three-Plate Nanocapacitors due to Coulomb Blockade
S. Foreman et al., J. Appl. Phys, 2018
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See full list of Recent Talks
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π
saforem2/
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Organizer for:
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SC24 Workshop: High Performance Python for Science at Scale (HPPSS), November 2024
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SC23 Workshop: High Performance Python for Science at Scale (HPPSS), November 2023
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Machine Learning and Quantum Computing for Earth Sciences at 17th U. S. National Congress on Computational Mechanics, July 2023
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TableΒ 1: π Experience
Position | @ | Start | End |
---|---|---|---|
Assistant Computational Scientist | ALCF | 2022 | β |
Postdoc | ALCF | 2019 | 2022 |
Graduate Researcher | ANL | 2018 | 2019 |
TableΒ 2: π Education
Degree | In | @ | End |
---|---|---|---|
PhD | Physics | University of Iowa | 2019 |
B.Sc | Physics | UIUC | 2015 |
B.Sc | Math | UIUC | 2015 |
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<script> /** Developed by Prashant Shrestha + https://prashant.me */ var lastfmData = { baseURL: "https://ws.audioscrobbler.com/2.0/?method=user.getrecenttracks&user=", // Your Last.fm Username user: "saforem2", // Your API key api_key: "1dbc15037c1fe71ce06acbb3f73adc75", additional: "&format=json&limit=1" }; var getSetLastFM = function() { $.ajax({ type: "GET", url: lastfmData.baseURL + lastfmData.user + "&api_key=" + lastfmData.api_key + lastfmData.additional, dataType: "json", success: function(resp) { var recentTrack = resp.recenttracks.track[0]; var formatted = // "" + recentTrack.name; "πΆ " + recentTrack.name; $("a#tracktitle") .html(formatted) .attr("href", recentTrack.url) .attr("title", recentTrack.name + " by " + recentTrack.artist["#text"]) .attr("target", "_blank"); var artistFormatted = // "" + recentTrack.artist["#text"]; "π£οΈ " + recentTrack.artist["#text"]; $("a#trackartist") .html(artistFormatted) .attr("title", "Artist : " + recentTrack.artist["#text"]); $("img#trackart").attr("src", recentTrack.image[2]["#text"]); }, error: function(resp) { $("a#tracktitle").html( "" + "Silence!" ); $("img#trackart").attr("src", "π§π»βπ»"); var artistFormatted = "Sam Foreman"; $("a#trackartist") .html(artistFormatted) .attr("href", "https://samforeman.me"); } }); }; // Get the new one. getSetLastFM(); // Start the countdown. setInterval(getSetLastFM, 10 * 5000); </script>