Astro-AI Boot Camp

AI progress has exploded, achieving previously unimaginable advances in image and language processing. Meanwhile, engagement with AI methods within astronomy has grown exponentially in the Big Data era of astronomy.

Image credit: TACC REU Site funding (OAC-2447887, OAC-2150390, OAC-1852538)

On May 5-9, CosmicAI will also host the inaugural AI-in-Astronomy Boot Camp, an intensive week of AI training and hands-on AI-astronomy activities. The boot camp will include cross-interaction opportunities with the conference speakers and attendees.

The boot camp aims to provide a broad overview of AI methods and use hands-on exercises to prepare participants to apply AI methods to scientific applications in a high performance computing environment. This boot camp has a special focus on challenges in the domain of astronomy/astrophysics. 

The boot camp will be held at the Oden Institute POB 4.304 (directions).

Agenda

Monday, May 5, 2025

9 am – 5 pmSession Title
Morning Session IIntroduction to TACC, computing cluster, and Data Analysis
Morning Session IIIntroduction to TACC, computing cluster, and Data Analysis (contd.)
Lunch 11:45 am – 1:00 pm 🥙 POB 6.308
Afternoon Session IIntroduction to Machine Learning and Supervised Learning
Afternoon Session IIIntroduction to Machine Learning and Supervised Learning (Hands-on)

Tuesday, May 6, 2025

9 am – 5 pmSession Title
Morning Session IAdvanced Supervised Learning Topics (Ensemble methods and Explainable AI)
Morning Session IIAdvanced Supervised Learning Topics, (Hands-on)
Lunch 11:45 am – 1:00 pm🥙 POB 6.308
Afternoon Session IIntroduction to Deep Learning
Afternoon Session IIIntroduction to Deep Learning (Hands-on)
CosmicAI Horizons Conference
Highlighted Talks @ 4:00 pm
Career Panel – Kevin Gullikson, Randi Ludwig, Tanmoy Laskar, and Eric Murphy in POB 2.302

Wednesday, May 7, 2025

9 am – 5 pmSession Title
Morning Session IDistributed Deep Learning
Morning Session IIDistributed Deep Learning (Hands on)
Lunch 11:45 am – 1:00 pm🥙 POB 6.308
Afternoon Session IIntroduction to Unsupervised Learning
Afternoon Session IIIntroduction to Unsupervised Learning (Hands-on)
CosmicAI Horizons Conference
Highlighted Talks @ 4:00 pm
Marc Huertas-Company: Towards robust
AI deployment for constraining the
physics of galaxy formation in POB 2.302

Thursday, May 8, 2025

9 am – 5 pmSession Title
Morning Session IGenerative AI and LLMs
Morning Session IIGenerative AI and LLMs (Hands-on)
Lunch 11:45 am – 1:00 pm🥙 POB 6.308
Afternoon Session IGenerative AI and LLMs (Hands-on)
Afternoon Session IIIntroduction to Deep Reinforcement Learning
CosmicAI Horizons Conference
Highlighted Talks @ 4:00 pm
Sheena Panthaplackel : Harnessing the Coding Capabilities of LLMs in POB 2.302

Friday, May 9, 2025

9 am – 3 pmSession Title
Morning Session IAstro-AI Software Demos
Morning Session IIAstro-AI Software Demos (contd.)
Lunch 11:45 am – 1:00 pm🥙 POB 6.308
Afternoon Session ISurrogate Modeling + Hands-on
Adjourn 3:00 pm

TACC Instructors

Niall Gaffney, Amit Gupta, Juliana Duncan, Sikan Li, Luke Smith, and Gabriel Jaffe.

AstroAI Package Demos

Friday, May 9, 2025 9 AM – Noon

PresenterPackage
Anna Lena
Schaible
Rubix
Matthew HoLtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology
Mahdi QezloGoku-ELG: A cosmological emulator for emission-line galaxies (ELGs), built using the GOKU simulation suite.
Max Lee Zooming by in the CARPoolGP lane: new CAMELS-TNG simulations of zoomed-in massive halos
Cicero LuCLustering UnsupErvised with Sequencer (CLUES): A fully interpretable clustering tool for analyzing spectral data
Andrew
Engel
Mantis Shrimp: A computer vision model for photometric redshift estimation in the Northern sky (DEC > -30)
Digvijay (Jay)
Wadekar
Augmenting astrophysical scaling relations with machine learning: Application to reducing the Sunyaev–Zeldovich flux–mass scatter
Aritra GhoshHyrax: A Framework for Unsupervised Discovery & Scalable ML in the Era of Large Surveys (e.g., Rubin-LSST, HSC, Euclid, NGRST, etc.)