Razieh Enjilela

Razieh received her PhD from the University of New Brunswick (UNB) MRI Research Centre. Her PhD research was focused on quantitative imaging and relaxation time measurement in materials with the aid of MR and MRI. However, her enthusiasm for medical applications of MRI, particularly lung MRI, persuaded her to work on lung diseases during her postdoctoral research. Her research at Toronto Metropolitan University (TMU) involves developing an MRI-compatible airway phantom, optimizing Ultra-short Echo Time (UTE) MRI, and evaluating the reproducibility of UTE MRI sequences for airway imaging. In addition to her research, Razieh is very passionate about teaching and holds a diploma in university teaching from UNB. She is currently enrolled in a one-year certificate in Data Analytics, Big Data, and Predictive Analytics at Chang School. She is also interested in nature, art, and music.