Dr. Phogat is a computational neuroimaging fellow at the University of Newcastle and broadly works in the field of computational neuroscience and complex systems. Her current research focuses on modeling brain dynamics through the development of novel, physically grounded mathematical and computational frameworks. She has led the development of a theoretical and numerical framework that bridges anatomical geometry with dynamic modeling of the cortico-hippocampal-thalamic networks. Given that most of the data in neuroscience is empirical, her research offers novel insights into the biophysical basis of cortical-subcortical interactions and proposes mechanistic explanations for their role in both healthy and pathological brain dynamics.

Her contributions to the field also extend to spatial null modeling, statistical inference in brain mapping and characterizing sulcal-gyral bias in fMRI data. She adopts an interdisciplinary approach to neuroscience and her work spans physics, applied mathematics, engineering, and clinical neuroscience.