Patrick Janulewicz

PhD thesis: TBC

Research interests:

1. Multi-agent systems
2. Cosmology
3. Machine learning for astrophysics

My area of research aims to automate the scientific discovery process using machine learning, with an emphasis on cosmology. Using multi-agent systems and modern advances in large language models, my research works toward autonomous systems capable of uncovering novel scientific insights with minimal human intervention. This work builds upon the group's roots in cosmology, where the many mysteries of the universe provide a strong foundation for testing and developing these autonomous systems.

Who or what inspired you to pursue your research interests?

I have always been fascinated by the world and how it works, which naturally led me to explore fields such as physics and cosmology. With recent advances in machine learning transforming a range of disciplines, the potential for their application in the natural sciences is vast. I am excited to work in such a promising field and, more broadly, in such a remarkable era of scientific discovery.