I'm a PhD candidate in the Department of Energy Sciences and Engineering, advised by Adam Brandt. My research is motivated by the crucial role renewable energy must play in meeting our energy demands sustainably. The major challenge in transitioning to renewable energy lies in the intermittent and inherently uncertain nature of renewable energy sources. My current research focuses on predicting energy outputs from these stochastically behaving energy sources, with an emphasis on uncertainty quantification and volatility. Specifically, I employ computer vision models and statistical techniques to develop short-term probabilistic photovoltaic (PV) power forecasts from images of the sky and time series PV data. I hold an MS from Stanford in Energy Resources Engineering, a BE in Mechanical Engineering, and a BS in Physics from the American University of Beirut. Aside from my work, my greatest joy comes from spending time with my husband, as well as our family and friends.