Stanford Doerr School of Sustainability
Showing 111-120 of 488 Results
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Devin Dollery
Ph.D. Student in Oceans, admitted Autumn 2023
Masters Student in Oceans, admitted Autumn 2024BioI am interested in computational simulations of the natural world - focusing on developing models of ocean physics to predict the ocean's role in climate variability. At Stanford, my PhD research commencing in Autumn 2023 with Prof Fringer seeks to model and understand the interaction of surface and internal waves. This relationship will be correlated to satellite imagery of ocean surface roughness to infer stratification for assimilation into ocean models.
My professional background started in civil engineering and coastal processes modeling. I received an MSc in computational mechanics at the University of Cape Town (2018) - formulating and implementing a multiscale FEM model for cardiac tissue. Most recently, I was a scientific software developer adding parallelized tools and functionality to the ocean modeling software, UCLA ROMS, at the University of California, Los Angeles. -
Erinn Drage
Ph.D. Student in Environmental Social Sciences, admitted Autumn 2025
BioErinn Drage is an environmental filmmaker, conservation social scientist, and outdoor adventure guide from Canmore, Alberta. In addition to her primary work in international conservation policy, she has guided expeditions in the Arctic and Antarctica and written, edited, and directed award-winning documentary films. Her past scientific research has included studying nature-based tourism economies in Alaska and social well-being, human rights, and conservation in Kanungu, Uganda. At Stanford, Erinn is exploring the political and economic dimensions of biodiversity conservation, with a focus on community-led stewardship and the role of human institutions in shaping conservation outcomes. When not pursuing her intellectual passions around conservation, she can usually be found trail running, mountain biking, or backcountry skiing in the nearest mountain ranges.
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Lama El Halabi
Ph.D. Student in Energy Science and Engineering, admitted Spring 2022
BioI am a PhD candidate in the Department of Energy Sciences and Engineering and a Data Science Scholar, advised by Adam Brandt. My research is driven by the crucial role renewable energy must play in sustainably meeting our energy demands. The major challenge in transitioning to renewable energy lies in the intermittent and inherently uncertain nature of these energy sources. My current research focuses on predicting energy outputs from these stochastically behaving 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 sky images and time-series PV data. I hold an MS in Energy Resources Engineering from Stanford and a BE in Mechanical Engineering and a BS in Physics from the American University of Beirut. Previously, my research involved using machine learning to model water resources.
