Stanford Doerr School of Sustainability
Showing 51-100 of 427 Results
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Catherine (Hay) Callas
Ph.D. Student in Energy Resources Engineering, admitted Spring 2020
BioCatherine Callas is a Ph.D. candidate in the Benson Lab in Energy Resources Engineering. She is an ExxonMobil Emerging Energy Fellow, and her research is focused on offshore carbon capture and sequestration in the Gulf Coast. She obtained her M.S. degree in the Atmosphere and Energy program within Civil and Environmental Engineering from Stanford University and a B.S. degree in Chemical Engineering from Brown University. Before attending Stanford, she worked as a Financial Analyst within the Fixed Income group at Goldman Sachs in New York City for three years. She was a Schneider Fellow at the Natural Resources Defense Council in San Francisco where she analyzed the impact of the 2017 Northern California wildfires and 2018 Camp Fire on retail rates within PG&E’s service territory.
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Eeshan Chaturvedi
Ph.D. Student in Environment and Resources, admitted Autumn 2022
BioEeshan is currently pursuing his Ph.D. in Climate Governance, and its correlations with policy, law, and earth systems. He holds an LLM in Environmental Law and Policy from Stanford Law School and has since worked with various domestic and international organizations on legal and management issues related to the environment and climate. In academia, he has held positions of Assistant Dean and Professor of Climate Governance and continues to engage with the various stakeholders in the climate space.
He enjoys discussions on neuroscience, astrophysics, and geo-politics in his free time. -
Zhenlin Chen
Ph.D. Student in Energy Resources Engineering, admitted Summer 2023
BioZhenlin (Richard) Chen is a Ph.D. candidate at Stanford's Adam Brandt lab, focuses on greenhouse gas emissions from oil and gas. His work primarily revolves around evaluating ground sensor technologies for methane detection and quantification ability. His methodological approach blends engineering principles, field data collection, and applied statistics. Chen is exploring AI-driven frameworks, particularly large language models, to refine energy data extraction and enhance the OPGEE model through private data fine-tuning and reinforcement learning. His emphasis remains on domain-specific tasks, aiming for efficiency in terms of latency and cost. He pursued his undergraduate studies in environmental science at Cornell University and holds a master's in Atmosphere and Energy Engineering from Stanford.
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Dylan Marshall Crain
Ph.D. Student in Energy Resources Engineering, admitted Autumn 2022
Current Research and Scholarly InterestsMy current research revolves around optimizing the monitoring design of Carbon Capture and Sequestration (CCS) projects in such a way that the posterior (after data assimilation) predictions are as close to reality as can be hoped for.
In CCS projects within the U.S., it is important to have monitoring plan, which can consist of wells with pressure, saturation, salinity, et cetera sensors, seismic lines, or gravimetric above-ground measurements, before any injection has begun into the subsurface. This is due to the permitting requirements that must be satisfied before operations are begun.
Due to this constraint, any monitoring optimization (at least initially) needs to be determined using only a prior (highly uncertain) understanding of the subsurface. This makes the optimization much more challenging. We utilize a prior optimization scheme from a previous student which allows us to optimize a monitoring plan using only prior information to get the minimized, expected uncertainty reduction in the posterior models for a given quantity of interest. This scheme is limited by some Gaussian assumptions. We optimize it using a genetic algorithm.
From this point, with the monitoring plan established, the information gathered from the optimized monitoring scheme (using only monitoring wells at the moment) is used to history match (data assimilate) our understanding of the subsurface. The results can be used to predict the CO2 plume flow and behavior into the future.
This work was initially developed to assist a project in Illinois that is currently seeking Class VI injection well permits in the self-same state in order to begin injecting CO2 produced from two companies paying for the work from the Illinois Geological Survey. -
Iván Deiana
Ph.D. Student in Geophysics, admitted Autumn 2023
BioPh.D. student in Geophysics at Stanford Earth Imaging Project (SEP). Research interests include Geophysical Inverse Problems, Quantitative Interpretation, and Earth Imaging, integrated with HPC and ML.
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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. -
Lama El Halabi
Ph.D. Student in Energy Science and Engineering, admitted Spring 2022
Masters Student in Energy Resources Engineering, admitted Autumn 2020BioI 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.
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Emily Ellefson
Ph.D. Student in Geological Sciences, admitted Autumn 2021
Current Research and Scholarly InterestsI am a palynologist, that is, I study fossilized pollen and spores! Previously I have worked on Permian-Triassic and Jurassic-Cretaceous palynology, but here at Stanford I'm excited to be exploring a new time interval and will be working on Silurian-Devonian palynology. My research will focus on how the evolution of terrestrial plants affected the marine redox record through palynology, paleobotany, and geochemistry.
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Safari Fang
Ph.D. Student in Environment and Resources, admitted Autumn 2020
BioSafari Fang is a Ph.D. candidate in the Emmett Interdisciplinary Program in Environment and Resources (E-IPER). She is an interdisciplinary scientist and ocean conservation leader with proven experience and passion for connecting people from diverse backgrounds to facilitate deep, meaningful collaborations aimed at solving environmental challenges. Growing up next to a polluted Yangtze River in China, Safari aspired from an early age to work in environmental conservation, and she connects deeply with communities that live the real consequences of pollution and habitat destruction. Her current research focuses on aquaculture and fisheries, food security, and community-based marine conservation. Through her research and action, Safari is engaging diverse stakeholders in the global seafood system and fostering collaborations among sectors for the sustainable use of ocean resources.
Safari is an alumna of the Blue Pioneers Program, a leadership development program for ocean conservationists from Asia. She sits on the board of directors of Demos Education Hub, an environmental education and community development NGO in Hainan, China. Safari has lived and worked in several countries, including China, the U.S., Iceland, Germany, and France. She speaks fluent Chinese and English and enjoys reading, swimming, kayaking, hiking, whale watching, yoga, meditation, and creative writing. -
Sarah Fendrich
Ph.D. Student in Environment and Resources, admitted Autumn 2022
Student Employee, Environmental Social SciencesBioSarah is interested in the design and evaluation of decision support systems for local and regional-scale climate adaptation. Her research aims to explore the social and cognitive processes through which decision support systems — both digital decision support tools and the activities of regional climate resilience networks — shape adaptation planning and implementation, organizational learning, and environmental outcomes. She is specifically interested in supporting more adaptive and integrated water resources management. Sarah’s current work focuses on better understanding the collaborative landscape of federal decision support activities using social network analysis, as well as the decision-making and planning processes of local stormwater managers in coastal communities across the U.S. using a mixed-methods approach, including surveys, interviews, and document analysis.
Sarah holds a BA in cognitive neuroscience from the University of Pennsylvania. Prior to coming to Stanford, she worked on health care innovation and equity research at the Penn Medicine Nudge Unit and the Center for Health Incentives and Behavioral Economics. -
Jill Grey Ferguson
Ph.D. Student in Environment and Resources, admitted Autumn 2021
BioJill Grey Ferguson is a PhD student in the Emmett Interdisciplinary Program in Environment and Resources. Jill is also the co-founder of LibertyHomes, a nonprofit dedicated to scaling inclusive utility investment systems with robust consumer protections that make home energy upgrades accessible to all people without credit checks, upfront cost, or debt. Prior to starting LibertyHomes, Jill was a Truman-Albright Fellow at the American Council for an Energy-Efficient Economy where she led the Rural Research Initiative. She has worked at the US Department of Energy, Office of Energy Efficiency and Renewable Energy as a solar technology fellow and as a photovoltaic cell researcher at the Massachusetts Institute of Technology. Jill earned a bachelor of science in material science engineering from the University of Virginia.
