Stanford Doerr School of Sustainability
Showing 1-100 of 445 Results
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Jood Al Aswad
Ph.D. Student in Geological Sciences, admitted Autumn 2019
BioMy interests are in ecosystem recovery from mass extinction events and hyperthermal periods, spatial and temporal trends in the fossil record, ecophysiology, and taxonomic identification.
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Ammar Alali
Ph.D. Student in Energy Resources Engineering, admitted Autumn 2023
BioI'm Ammar, a PhD student in Energy Science Engineering who is working with Hamdi Tchelepi. I got my master's degree from Stanford in 2018, and since then I have been working with Aramco as part of the development teams of two projects for Underground Gas Storage and CCUS to be developed for the first time in Saudi Arabia. My masters research was focused on numerical reservoir simulation of capillary-dominated flow in matrix-fracture systems using interface conditions. In my free time, I enjoy reading modern poetry and watching classic films.
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Anela Arifi
Ph.D. Student in Environment and Resources, admitted Autumn 2020
Current Research and Scholarly InterestsAnela researches the nexus between engineering, socio-economic, policy, and environmental components of energy systems. She currently focuses on the characterization of the scale and pace of integrating different energy systems with natural climate solutions.
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Folasade Ayoola
Ph.D. Student in Energy Science and Engineering, admitted Spring 2019
Current Research and Scholarly InterestsDeep decarbonization of large-scale energy systems, exploring low-carbon transition pathway alternatives for oil-dependent countries, with a focus on Nigeria.
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Nina Berlin Rubin
Ph.D. Student in Earth System Science, admitted Autumn 2019
BioNina Berlin Rubin is a 5th year PhD Candidate in Earth System Science. Nina's research focuses on human behavior and decision-making in the face of climate extremes such as wildfire, wildfire smoke, and coastal hazards.
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Adam Burnett
Ph.D. Student in Earth System Science, admitted Summer 2019
BioI grew up in Westmoreland, New Hampshire, and graduated from Dartmouth College in 2018 with an undergraduate degree in physics. I am broadly interested in atmospheric dynamics, idealized modeling, and climate change. My current research uses aquaplanet simulations to explore what factors determine global tropical cyclone frequency. My hobbies include hiking, birdwatching, and playing the piano.
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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. -
Eliza Dawson
Ph.D. Student in Geophysics, admitted Summer 2018
Current Research and Scholarly InterestsI am investigating how changes in the thermal regime at the ice-bed interface could force the Antarctic ice sheet to evolve. My approach combines large scale ice sheet modeling, regional airborne ice-penetrating radar sounding analysis, and the synthesis of the two. Currently, I am using the Ice-sheet and Sea-level system model (ISSM) to learn about basal thaw processes that could drive mass loss and ultimately contribute to sea level rise.
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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
BioI 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. -
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.
