AstroAI Workshop 2025

The 2025 AstroAI Workshop will take place July 7-11, 2025.

AstroAI Workshop

We are thrilled to announce the AstroAI Workshop, an event to learn about the role of Artificial Intelligence (AI) and Machine Learning (ML) in Astrophysics.
When: July 7-11, 2025
Where: Center for Astrophysics | Harvard & Smithsonian (CfA), 60 Garden St., Cambridge, MA 02138
About the Workshop: The AstroAI Workshop is designed to foster an environment of learning, collaboration, and innovation. Over the course of five days, participants will engage in a series of lectures and discussions led by experts in the fields of AI/ML and astrophysics, hands on sessions, talks by early career scientists in the field, and networking events. This workshop is an opportunity for early career scientists to deepen their understanding of foundational AI/ML models for astrophysical research, and their potential in unraveling the mysteries of the universe.
Who Should Attend: The AstroAI Workshop is ideal for early career scientists, including graduate students, postdocs, and researchers in the early stages of their careers in astrophysics, computer science, and related fields. However, anyone with a keen interest in the application of AI/ML in astrophysics will find this workshop beneficial.
Invited speakers include:

David Alvarez-Melis (Harvard University, website)
Bill Freeman (Massachusetts Institute of Technology, website)
Marc Huertas-Company (Instituto de Astrofísica de Canarias and University of Paris, website)
Elisabeth Sylvan (Brown University, Rhode Island School of Design, Technical University of Munich, website)
Ashley Villar (Harvard University, website)
...and others TBA

Topics: Interpretability of AI/ML models; Large Language Models (LLMs); computer vision; diffusion models; inference; the use of AI/ML in astrophysical research.
Hands-on sessions: Participants will have the opportunity to engage in hands-on sessions where they can apply concepts to real-world astrophysical datasets. These sessions will be led by experienced instructors and will provide participants with practical experience in using AI/ML techniques for astrophysical research.
Networking opportunities: The workshop will include networking events where participants can connect with other attendees, share ideas, and explore potential collaborations. These events will provide a platform for participants to discuss their research interests and learn from each other.
Fill out Form: Please fill out our interest/abstract submission form and submit an abstract to give a talk or a poster. Interest/Abstract Submission
Financial Assistance: If you feel that will be a financial burden for you, please fill out the form below. We will direct you to the appropriate registration portal when we send acceptance emails. Financial Assistance Form
Science Organizing Committee:

Phillip Cargile (CfA)
Cecilia Garraffo (CfA)
Juan Martinez-Galarza (CfA)
Ana Sofia Uzsoy (CfA)
Joshua Wing (CfA)

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