Marwa Ghazi

My name is Marwa Ghazi, and I am a senior physics student pursuing a Master’s degree in "Computational Data Science" from "Khalifa University", UAE. Throughout my undergraduate studies, I have developed a strong foundation in quantum mechanics, and atomic and molecular physics complemented by a project using MOLPRO software to calculate electronic structures for atoms and molecules. My previous research experiences were focused on topics such as "Investigating Gold Quantum Dots’ radii under the effect of an external magnetic field" and "An independent study exploring various machine learning algorithms to simulate the methods and dynamics involved in water purification". These projects ignited my research interest and pushed me to explore the applications of the theoretical physics I have studied and its intersection with machine learning, which highly influenced my decision to pursue a Master’s degree in "Computational Data Science".

During my internship on pulsed Dynamic Nuclear Polarization (DNP) in Prof. Asif's lab at NYUAD, I focused on exploring and optimizing various techniques. Initially, I familiarized myself with Nuclear Orientation via Electron Spin Locking (NOVEL) to understand the fundamental principles of DNP. Subsequently, I concentrated on Phase Modulated Lee-Goldburg (PMLG) sequences, specifically employing a 10-pulse sequence. The phases for these pulses were sourced from existing literature, and proven effective for proton-proton decoupling. My primary task was to develop an optimization algorithm aimed at determining the optimal duration and power for these pulses. This endeavor was successful, resulting in an efficient algorithm. However, my ongoing work focuses on achieving a high expectation value for polarization, particularly when two electrons are close. This research contributes to advancing the field of pulsed DNP by enhancing the precision and effectiveness of polarization techniques.