I am a postdoctoral researcher whose work spans brain MRI and deep learning for neuroimaging. I completed my PhD in Computer Engineering at the University of Virginia under Dr. Tom Fletcher, where I focused on enhancing brain MRIs with principled deep learning methods, including learned representations for tractography, medical image synthesis, and diffusion MRI distortion correction. I also hold a Master's degree in Psychology with a specialization in cognitive neuroscience, giving my work a unique grounding in both neuroscience and engineering.

Diffusion MRI is a rich source of insight for doctors and their patients. However, the complexities of real-world clinics limit adoption of this image modality. So, I develop new methods and tools that solve problems faced by clinicians looking for meaningful information from resource-constrained diffusion MRIs. These methods combine traditional and new deep learning-based methods, all designed to meet the practical needs of the physician.