Stanford University
Showing 851-900 of 5,109 Results
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Savannah Cofer
BioReconfigurable Origami Robotics, Stanford SHAPE Lab
PhD Mechanical Engineering
Stanford Knight-Hennessy Scholars
NSF GRFP Fellowship -
Anthony M. Comeau
Ph.D. Student in East Asian Languages and Cultures, admitted Autumn 2025
BioAnthony Comeau is a first year PhD student in Stanford's Department of East Asian Languages and Cultures. His research interests broadly include political thought and its history and comparative literature. Anthony is particularly interested in the themes of love, education, and humanism in the comparative reception of canonical philosophers, theologians, and novelists in the modern Sinosphere, West, and Hispanosphere.
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Iris Cong
MD Student with Scholarly Concentration in Bioengineering / Surgery, expected graduation Spring 2029
BioIris Cong is an M.D. candidate at Stanford School of Medicine. Prior to joining Stanford, she completed her B.S. studies in Computer Science at UCLA, and a Ph.D. in physics/quantum computing at Harvard. Iris is passionate about the potential applications of emerging technologies to medicine. More information can be found on her personal website at https://iriscong.com.
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Jon Cooper
Ph.D. Student in History, admitted Autumn 2018
BioJon Cooper is a PhD candidate in History at Stanford University. He is focused broadly on intellectual history in early modern Europe, with a special interest in the history of political economy in Britain and its empire. His dissertation project is provisionally entitled “Dealing with Money: A Genealogy of Economic Theology in England, 1544–1623".
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Megan Coram
Ph.D. Student in Mechanical Engineering, admitted Autumn 2023
Masters Student in Mechanical Engineering, admitted Spring 2026Current Research and Scholarly Interestsrobotic clothing (wearable haptic devices and assistive technology) and clothing for robots (social dressing and functional uniforms)
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Jasmine Michelle Cox
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
BioJasmine Cox is a PhD candidate in Electrical Engineering. She received her B.S. in Electrical Engineering with a minor in Applied Mathematics from Boise State University in 2020. During her undergraduate academic career, Jasmine was a Ronald E. McNair Scholar and a member of the Advanced Nanomaterials and Manufacturing Laboratory focusing on additive manufacturing of flexible hybrid electronics. Her current research as a member of Prof. Debbie G. Senesky’s group, EXtreme Environment Microsystems Lab (XLab), explores the synthesis, fabrication, and characterization of devices and materials in extreme environments that can be found in space.
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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.
