Computational Imaging Group (CIG)

Welcome to the CIG at UW-Madison!

Computational Imaging is a rapidly evolving field at the intersection of artificial intelligence, computer vision, applied mathematics, and the physical sciences. The Computational Imaging Group (CIG) develops theory and algorithms for fast, robust, and high-fidelity acquisition, processing, and interpretation of imaging data—ranging from 2D images to 3D volumes and 4D dynamic sequences.

Our research is driven by challenges in biomedical and scientific imaging, including MRI, CT, PET, microscopy, materials characterization, and remote sensing. We design AI methods that integrate physical models, principled inference, and large-scale optimization to push the limits of what can be measured, reconstructed, and understood. A central theme of our work is creating generalizable, data-efficient, and uncertainty-aware approaches that perform reliably in practical deployement.

CIG is deeply interdisciplinary, with collaborations across medicine, engineering, physics, materials science, and biology. Our mission is to advance the foundational methods that will enable the future of intelligent imaging—from healthcare diagnostics to scientific discovery and next-generation sensing technologies.