Jim Halverson

Jim Halverson is an Associate Professor of Physics at Northeastern University in Boston, Massachusetts. His research bridges string theory, particle physics, cosmology, mathematical geometry, and deep learning. He serves as a co-PI and Board Member of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) and co-organizes Physics ∩ ML. Halverson holds a PhD in Physics from the University of Pennsylvania (2012) and completed postdoctoral work at the Kavli Institute for Theoretical Physics (2012-2015).

His research focuses on the string landscape and its implications for physics beyond the Standard Model, particularly through the lens of extra-dimensional geometries. He has pioneered the integration of deep learning into theoretical physics, applying it to problems in quantum field theory, knot theory, and cosmological model inference. Halverson has organized numerous workshops, including String Phenomenology and IAIFI Summer Schools, and serves on the editorial board of Machine Learning: Science and Technology.

Halverson’s recent publications highlight neural network applications to conformal symmetry, Kolmogorov-Arnold networks, and geometric problems in string theory. His work intersects physics, mathematics, and machine learning to explore fundamental questions in cosmology and quantum gravity. He has received the NSF CAREER Grant and DOE Graduate Fellowship, underscoring his contributions to both research and education. Halverson teaches graduate courses in quantum mechanics and quantum field theory at Northeastern University.