School of Engineering
Showing 21-40 of 7,040 Results
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Monther Abu-Remaileh
Assistant Professor of Chemical Engineering and of Genetics
Current Research and Scholarly InterestsWe study the role of the lysosome in metabolic adaptation using subcellular omics approaches, functional genomics and innovative biochemical tools. We apply this knowledge to understand how lysosomal dysfunction leads to human diseases including neurodegeneration, cancer and metabolic syndrome.
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Sara Achour
Assistant Professor of Computer Science and of Electrical Engineering
Current Research and Scholarly InterestsI am an Assistant Professor jointly appointed to both the Computer Science and the Electrical Engineering Departments at Stanford University. My research focuses on new techniques and tools, specifically new programming languages, compilers, and runtime systems, that enable end-users to more easily develop computations that exploit the potential of emerging computing platforms that exhibit analog behaviors.
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Phil Adamson
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
BioPhil is an Electrical Engineering PhD student conducting inter-disciplinary medical imaging research in the Radiological Sciences Laboratory in the Stanford Medicine Department of Radiology. His research interests include MR methods for metabolic imaging, particularly Deuterium Metabolic Imaging (DMI), and Deep Learning methods for solving inverse problems in limited data regimes with applications to MRI.
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Devan Addison-Turner
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2022
Masters Student in Civil and Environmental Engineering, admitted Autumn 2021Current Research and Scholarly InterestsDevan's research at Stanford is focused on reducing inequities in health, education, and society. Devan is leveraging multiple sources of data within the state of California and nationwide to develop a holistic Energy Poverty Index to evaluate and guide policy. Devan's research addresses disparities in racial equity by helping to identify communities and schools that are most vulnerable and at-risk based on socio-economic, health, and environmental factors.
