Stanford University
Showing 301-400 of 421 Results
-
Benjamin I. Chung
Associate Professor of Urology
Current Research and Scholarly InterestsRenal cell carcinoma and prostate cancer outcomes research and epidemiology.
-
Ben Church
Ph.D. Student in Mathematics, admitted Autumn 2021
Current Research and Scholarly InterestsI am interested in birational geometry in all characteristics.
-
Rastko Ciric
Ph.D. Student in Bioengineering, admitted Autumn 2018
BioThe "publication topics for this person" are algorithmically generated and do not reflect either current or previous research interests.
-
Max K. Clary
MD Student with Scholarly Concentration in Health Services & Policy Research / Global Health, expected graduation Spring 2026
BioMax K. Clary is pursuing an MD at Stanford School of Medicine.
Max earned his bachelor’s degree in Chemistry at Lewis & Clark College as a Pamplin Honor Society Fellow and his MPH in Global Health at George Washington University's Milken Institute School of Public Health as a Delta Omega Honor Society Fellow. He has worked on several global health projects in India, Pakistan and East Africa. He is the founder of several impact-centered organizations such as Organic Route, a company focused on improving agricultural supply chains and the distribution of healthy foods in rural areas of East Africa.
Max dreams of utilizing his background in business, public health and medicine to create innovative healthcare solutions that are equitable, prevention-focused and individually-tailored. -
Rachel Cleaveland
Ph.D. Student in Computer Science, admitted Autumn 2021
BioRachel Cleaveland is a 3rd-year PhD student from Stanford University, advised by Clark Barrett. Her research focuses on symbolic execution as well as memory model verification.
-
Amanda Coate
Ph.D. Student in History, admitted Autumn 2019
BioAmanda Coate is a PhD candidate in History at Stanford University, where she studies early modern Europe. Her research focuses primarily on the cultural and intellectual histories of 16th- and 17th-century Britain, Germany, and France. In her work, she has investigated ideas about cannibalism (particularly survival cannibalism), science and medicine in Britain and Ireland, and human-animal interactions. Her ongoing dissertation research examines early modern European understandings of hunger and food scarcity. During 2022-23, she was a writer for Synapsis: A Health Humanities Journal.
-
Mihai Codreanu
Ph.D. Student in Economics, admitted Autumn 2021
BioI am a PhD Candidate in the Stanford Department of Economics. My research interests primarily lie in innovation, entrepreneurship, and firm dynamics.
-
Savannah Cofer
Ph.D. Student in Mechanical Engineering, admitted Autumn 2020
Origami Robots Hourly Researcher, Program-Follmer, S.BioReconfigurable Origami Robotics, Stanford SHAPE Lab
PhD Mechanical Engineering
Stanford Knight-Hennessy Scholars
NSF GRFP Fellowship -
Jon Cooper
Ph.D. Student in History, admitted Autumn 2018
BioJon Cooper is a PhD candidate in History at Stanford University. He is broadly focused 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: Financial Crisis and the Rise of Economics in England, 1560-1640".
-
Tyler Edward Cork
Ph.D. Student in Bioengineering, admitted Autumn 2018
Temp - Non-Exempt, Rad/Radiological Sciences LaboratoryCurrent Research and Scholarly InterestsCurrently, I am involved in two main projects. The first is developing 3D printing techniques to improve the accuracy of ex vivo geometrical and microstructural cardiac modeling from in vivo cardiac MR acquisitions. The second is applying machine learning applications to MRI data as a way to improve overall image quality and reduce acquisition time.
-
Henry C. Cousins
MD Student, expected graduation Spring 2025
Ph.D. Student in Biomedical Informatics, admitted Autumn 2021
MSTP StudentBioHenry is an MD-PhD candidate and Knight-Hennessy Scholar in the Medical Scientist Training Program and the Biomedical Informatics Program, where he is advised by Professor Russ Altman. He develops machine-learning methods to study the effects of complex genetic variation on human disease mechanisms, with focus on neurological and ophthalmic disorders. His goal is to translate genomic discoveries into disease-modifying therapies.
He received an AB summa cum laude from Harvard University in 2017, where he studied genetic mechanisms of retinal development with Professor Joshua Sanes. He then graduated with an MPhil with distinction from the University of Cambridge as a Gates Cambridge Scholar. He previously worked at Leaps by Bayer and the Massachusetts Eye and Ear Infirmary and has received a number of awards related to research and teaching. -
Jasmine M. 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.
-
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.
