In this lecture, we will explore the role of artificial intelligence (AI) in astrophysics and how it is transforming our understanding of the universe. From discovering and studying the rarest astrophysical objects to mapping the large-scale structures of the cosmos, AI is providing new insights and advancing the field in unprecedented ways. This lecture will cover the latest breakthroughs and the potential for future developments at this exciting intersection.

Aleksandra Ciprijanovic is a Wilson Fellow Associate Scientist at the Data Science, Simulation, and Learning Division at Fermilab, where she leads the Cosmic AI group. Before this position, she was a postdoctoral research associate at Fermilab.

Ciprijanovic is a member of the Deep Skies Lab, the Rubin Observatory/LSST Science Collaborations, the Society of Astronomers of Serbia, the International Astronomical Union, and the European Astronomical Society. Her main research interests are artificial intelligence and machine learning in astrophysics and cosmology; working with big data from simulations and astronomical surveys; and studies of galaxies, galaxy clusters, and gravitational lensing. She is also interested in astroparticle physics, high-energy physics, nucleosynthesis, gamma-ray astronomy, and neutrino astronomy. Ciprijanovic loves working with students of all levels and strives to teach them not only how to solve scientific problems, but also how to navigate the job market and reach their career goals in or outside of academia.

Prior to moving to the United States, she worked as an assistant research professor at the Faculty of Mathematics, University of Belgrade and at the Mathematical Institute of the Serbian Academy of Sciences and Arts in Belgrade, Serbia. Ciprijanovic earned her Ph.D. in astrophysics in 2016 at the University of Belgrade.