Rami Alloush

I am a Product Owner of Upstream Data at S&P Global, where I manage and support the development of data solutions in the oil and gas industry. Previously, I was a Research Assistant at the University of Wyoming in the USA, working at the Center of Innovation for Flow through Porous Media (COIFPM) while pursuing my PhD. Before moving to the States, I worked as a consultant at the Reservoir Characterization Division (RCD) in Saudi Aramco. During that time, I also served as a teaching assistant in the College of Petroleum Engineering and Geosciences (CPG) at King Fahd University of Petroleum and Minerals (KFUPM) in Saudi Arabia, where I earned my master’s degree.

I hold a bachelor’s degree in Petroleum Engineering from Suez University in Egypt. After graduation, I worked as a teaching assistant at the American University in Cairo (AUC), and later joined the Egyptian Petroleum Consultancy Co. (EPC) as a consultant assistant. My research has focused on fluid phase behavior at the nano-scale in unconventional reservoirs, as well as the applications of Machine Learning and Artificial Intelligence techniques in the oil and gas industry.

In addition to my current role, I explore the domains of Machine Learning and Full Stack Web Development. I have a passion for anything related to technology!