Prior to joining the faculty at Georgetown, she was a Postdoctoral Fellow at Georgia Institute of Technology. She received a PhD Degree in Computational Mathematics, and two Master's Degrees one in Applied Mathematics and one in Industrial Systems and Engineering from University of Florida.
Maryam’s main area of expertise is numerical optimization with special emphasis on non-differentiable and nonconvex problems. These problems often arise in applications such as machine learning (regression), image and signal processing and reconstruction, sparse and low-rank approximations, and compressive sensing to name a few. Maryam is also interested in inverse problems in imaging applications and so far she has contributed efficient practical algorithms to solve denoising, inpainting,colorization, and object counting models.
Maryam's hobbies include playing piano, reading, practicing yoga and meditation, and playing tennis.