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: Tamara Broderick (Massachusetts Institute of Technology), Carolina Cuesta-Lazaro (IAIFI Fellow), Joshua Speagle (University of Toronto), Yuan-Sen Ting (Ohio State University), Melanie Weber (Harvard University)
Organizing Committee:
Adam Boesky
Floor Broekgaarden
Phillip Cargile
Cecilia Garraffo
Samuel Pérez Díaz
Ana Sofia Uzsoy
Joshua Wing
