Astromatic 2023 is a week-long program to bring together a group of 15 outstanding undergraduate students interested in artificial intelligence, machine learning, and astrophysics from around the world in the vibrant city of Montreal. The program consists of lectures on these topics given by experts, followed by a hackathon and an exciting competition that fosters teamwork and creativity to develop a powerful project at the intersection of astrophysics and machine learning.
During the program, the participants have the opportunity to participate in workshops, science talks, career seminars, programming sessions, and other activities related to the core thematic area of machine learning, scientific computing, and astrophysics. A number of social events are also organized to foster team building and networking. The program concludes with the showcasing of projects, including an award presentation for the most outstanding works.
The airfare and accommodation costs are covered by the organizers.
The organization is committed to provide a safe environment and promote well-being of all attendees, speakers and staff. All will be expected to be fully vaccinated against COVID-19 prior to participating in-person to the Astromatic 2023 event.
"Astromatic is by far the best hackathon I've been to! In just one week, I learned a lot about the intersection between astrophysics and ML through a variety of lectures and workshops from world leading experts. I completed a self-contained project in a team and developed many new skills which I will apply to future projects. In addition, I got to explore the historic city of Montréal with an amazing group of students from all around the world. Without a doubt, Astromatic is an amazing program which has provided me with an invaluable opportunity to broaden my horizons in astrophysics and ML. I would definitely recommend Astromatic!" - Matthew Leung, University of Toronto
"My experience at Astromatic was truly unforgettable! I learned so much about Astrophysics and AI in a short span of a week, while also exploring the beautiful city of Montrèal. The program truly exceeded my expectations as I met some of the most interesting people and learned about the intersection of AI/ML and Astrophysics, the entire organization team and professors involved made us feel very welcomed and also struck a great balance of learning and exploration. The lectures taught were thought-provoking and informative and is something that I will carry with me as I pursue further career aspirations. I want to thank the entire team for such an amazing experience." - Syeda Tabassum, Brooklyn College
The organizers are committed to making this event productive and enjoyable for everyone, regardless of gender identity, sexual orientation, disability, physical appearance, body size, race, nationality or religion. We will not tolerate harassment of participants in any form. Please follow these guidelines:
This code of conduct is based on the "London Code of Conduct", as originally designed for the conference "Accurate Astrophysics. Correct Cosmology", held in London in July 2015. The London Code of Conduct was adapted with permission by Andrew Pontzen and Hiranya Peiris from a document by Software Carpentry (http://software-carpentry.org/conduct.html), which itself derives from original Creative Commons documents by PyCon and Geek Feminism. It is released under a CC-Zero licence for reuse. To help track people’s improvements and best practice, please retain this acknowledgement, and log your re-use or modification of this policy at https://github.com/apontzen/london_cc.
Charles Wilson: charles.wilson@umontreal.ca