Yuan-Sen Ting (OSU)

NASA AI/ML Science and Technology Interest Group

on behalf of the AI/ML STIG Leadership Council

The Leadership Council:

Yuan-Sen Ting
(OSU, Chair)

Digvijay Wadekar
(UT Austin)

Andrew Saydjari
(Princeton)

Alex Gagliano
(MIT)

Georgios Valogiannis
(UChicago)

Siddhart Mishra-Sharma (Boston U.)

Carol Cuesta-Lazaro
(IAS)

Why this interest group?
Why now?
What are we trying to achieve?

NSF Workshop on the Future of AI + MPIS

Invited ~60 experts from across MPS domains

Organized presentations + breakout discussions 

Challenges and Opportunities

Resources Needed

Resposible AI

Education & Workforce Development

List of invitees for Astronomical Science (AST) 

Andy Connolly (U Washington - Time Domain)

Stella Offner (UT Austin - ISM / Star Formation - CosmicAI)

Yuan-Sen Ting (Ohio State - Stellar Astrophysics / Galaxy Evolution)

Eric Ford (Penn State - Exoplanet)

Risa Weschler (Stanford - Local Group)

Brice Menard (Johns Hopkins - Science for AI)

List of invitees for Astronomical Science (AST) 

Aggelos Katsaggelos (Northwestern - CS - SkAI)

Uros Seljak (Berkeley - Cosmology)

Ann Zabludoff (Arizona - Galaxy Evolution / Retrieval Systems)

Francisco Villaescusa-Navarro (CCA - Cosmology)

Benjamin Wandelt (CCA/John Hopkins - Reionization)

Peter Melchior (Princeton - Cosmology)

Salman Habib (Argonne - Cosmology - National Lab - SkAI)

Balancing institutional representation and subdomain expertise

AI for Astronomy - Gaps and Opportunities

A series of hands-on lectures through 2025-2026

https://github.com/tingyuansen/NASA_AI_ML_STIG 

Webinar

Every week
Monday 4pm ET

All lectures are recorded - 7 out of 26 so far!

https://github.com/tingyuansen/NASA_AI_ML_STIG 

All lectures come with detailed Jupyter notebooks and tutorials

https://github.com/tingyuansen/NASA_AI_ML_STIG 

Two semesters - 26+ lectures - covering what's new

https://github.com/tingyuansen/NASA_AI_ML_STIG 

LLM as Autonomous Agents

Two semesters - 26+ lectures - covering the foundations

https://github.com/tingyuansen/NASA_AI_ML_STIG 

Coding routines and NN architectures

Two semesters - 26+ lectures - covering the frontiers

https://github.com/tingyuansen/NASA_AI_ML_STIG 

Physics-Inspired NN, Generative models

Two semesters - 26+ lectures - covering the frontiers

https://github.com/tingyuansen/NASA_AI_ML_STIG 

Foundation Models, Reinforcement Learning

And by active practitioners and researchers in astrophysics

Speakers so far - more to come!

Yuan-Sen Ting
(OSU, Lecture 2,3,5)

Jesse Thaler (MIT, Lecture 1)

Francisco
Villaescusa-Navarro
(CCA, Lecture 4)

Phill Cargile
(Harvard CfA,
Lecture 6,7)

Speakers so far - more to come!

John Wu
(STScI, Lecture 8,9)

Daniel Muthukrishna
(Harvard/MIT, Lecture 10)

Tri Nguyen
(Northwestern, Lecture 11)

And by active practitioners and researchers in astrophysics

Carol Cuesta-Lazro
(IAS/Flatiron)

Philosophical discussion beyond AI / ML Lectures

https://tingyuansen.github.io/Philosophy_in_AI_Based_Science/

Ting, 2025, Nature Astronomy

Ting, 2026, in prep.

The Meaning of Understanding in AI-Laden Science (Feb 16)

Peer Review with AI: Promise and Pitfalls (April 13)

Philosophy x Science Seminars in the STIG Series

How do I join ?

Please send an email to AI-ML-STIG-join@lists.nasa.gov 
with the subject line "Join" to be added to the AI/ML STIG email list.

Have any questions or suggestions for us?
Email ting.74@osu.edu

Have any questions or suggestions for us?

Email ting.74@osu.edu

Check out the official NASA Cosmic Origins Program website

https://science.nasa.gov/astrophysics/programs/cosmic-origins

AAS Splinter Session: Wednesday 3pm (Room 231 A/B/C) !

Featured Talk:

Can AI Revolutionize Scientific Discovery?

David Weinberg (OSU)

Panel: Automation of Science - where are we going from here?

Yuan-Sen Ting
(OSU)

David Weinberg
(OSU)

Alberto Accomazzi
(NASA ADS)

Stella Offner
(UT Austin)

Gautham Narayan
(UIUC)