As a PhD student in the MASI lab, Adam Saunders contributes to collaborations aimed at advancing AI applications in imaging science, particularly in quantitative imaging methods for MRI in the brain. Adam works with computational models of the imaging process with interdisciplinary applications to areas like quantitative T1 imaging, diffusion MRI, and functional MRI. Using AI and deep learning, Adam is interested in developing data-driven approaches to use imaging models to provide new information like uncertainty estimates of tissue parameters, white matter fiber orientation-informed filters for functional MRI data, and better methods for preprocessing spinal cord diffusion MRI data.