Brian Nord’s current research focuses on teaching machines to search for clues about the universe’s origin and destiny. In particular, he uses artificial intelligence to study the cosmos, including dark energy, dark matter, and the early universe. He actively works on statistical modeling of strong gravitational lenses, the cosmic microwave background, and galaxy clusters. Nord also develops techniques to integrate physical principles into deep learning models and to interpret neural networks.
Nord is a Scientist in Fermilab’s AI Project Office and Cosmic Physics Center. He is also a CASE Scientist in the Department of Astronomy and Astrophysics and a Senior Member of the Kavli Institute for Cosmological Physics (KICP) at the University of Chicago. He leads a team of researchers (Deep Skies) who apply AI to questions in cosmology. For the 2022-23 Academic Year, Nord is also a Visiting Professor at the MIT Laboratory for Nuclear Sciences and the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI). During this year, he is an MIT MLK Fellow.
Nord also communicates with the public regarding science, science policy, diversity, and inclusion. He trains scientists in public communication and how to do research, advocates for science funding, and works alongside high school students in research environments. He received the DOE Early Career Research Award in 2021.
He’s working to apply simulation-based (implicit likelihood) inference techniques for strong lensing and galaxy cluster analyses and also works on Citizen Science for LSST.