DPhil student selected for Atlantic Council's Women Leaders in Energy and Climate Fellowship

DPhil student Maitha Al Shimmari, has been selected for the prestigious Atlantic Council’s Women Leaders in Energy and Climate Fellowship.

The Atlantic Council's Women Leaders in Energy and Climate Fellowship program is open to women under the age of thirty-five with three to five years experience in the energy and/or climate field, and provides opportunities to deepen their expertise, increase exposure through events and publication opportunities, enhance and encourage leadership potential through mentorship and key professional development training, and expand their network.

Maitha says, "I am thrilled to be part of the fifth cohort of fellows, joining an exceptional group of women leaders in the energy and climate fields. This one-year, nonresident program will provide me with invaluable opportunities to deepen my policy expertise and enhance my professional development. The Atlantic Council Global Energy Center's commitment to accelerating the careers of rising leaders in climate and energy policy is commendable. By nurturing the best and brightest minds in our field, they are driving us toward decarbonizing the energy system at scale and avoiding the worst impacts of climate change."

"I'm confident that this year's cohort, including myself, will make significant contributions not only during our time in the program but also as we join a growing network of phenomenal change-makers worldwide. These experiences will be equipping me with the skills and knowledge needed to become a strong voice and advocate for women experts in the traditionally male-dominated energy sector. I extend my heartfelt appreciation to the Atlantic Council and RBC Foundation for their generous support in making this fellowship program possible."

Maitha is a DPhil in Engineering Science candidate at the University of Oxford (Oxford e-Research Centre). Her research interest lies in deploying advanced technological solutions (Data Science and AI) in the energy sector to enable renewable integration towards a net-zero transition. Her thesis is titled 'Machine Learning for Improving the Role of Demand Response Aggregators'.

She adds, "I look forward to an enriching year ahead, where I will learn from esteemed senior leaders in the energy sector, broaden my understanding of energy and climate policy beyond my areas of expertise, and contribute meaningfully to the global conversation on building a sustainable future."