Zahraa Alkhayat holds a B.Sc. in Environmental Science (Quantitative Energy Systems) with a minor in Data Science from the University of North Carolina at Chapel Hill. Her research focuses on developing a Python-based EIO-LCA model to guide Saudi Arabia’s sustainability and decarbonization policies. At KAUST, she optimized carbon reduction pathways and analyzed green hydrogen byproduct valorization. At Aramco, she conducted LCAs of LNG, ammonia, and hydrogen power systems, identifying cracked blue ammonia as the lowest-carbon option. She aims to connect data-driven modeling with policy design for evidence-based environmental decisions.