First Ciela Hackathon sparks interdisciplinary collaboration in astrophysics and machine learning

On May 15th, the first Ciela Hackathon successfully brought together a diverse group of students, postdoctoral fellows, and faculty members from Université de Montréal and McGill University to Mila. The event fostered interdisciplinary collaboration and discussion on projects that bridge various topics in astrophysics and machine learning.

The hackathon attracted experts from various fields, including cosmology, dark matter, gravitational waves, gravitational lensing, Bayesian inference, reinforcement learning, and symmetries in deep representation learning. This diverse expertise allowed for a rich exchange of ideas and perspectives.

During the “hack” portion of the event, participants were introduced to ten challenging astrophysics problems that could be potentially solved using novel machine learning approaches. Experts in astrophysics and machine learning worked in teams to develop innovative solutions to these problems, showcasing the power of interdisciplinary collaboration.

We thank the organizers and all participants who made the event a resounding success.