Stanford University
Showing 4,651-4,700 of 6,602 Results
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Philipp Reineke
Ph.D. Student in Management Science and Engineering, admitted Spring 2019
Current Research and Scholarly InterestsIn his dissertation research, Phil examines Decentralized Autonomous Organizations (DAOs) and decentralization more generally.
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Martin Reinhard
Professor (Research) of Civil and Environmental Engineering, Emeritus
BioReinhard studies the fate of organic substances in the subsurface environment and develops technologies for the remediation of groundwater contaminated with chlorinated and non-chlorinated hydrocarbon compounds. His research is concerned with mechanistic aspects of chemical and biological transformation reactions in soils, natural waters, and treatment systems.
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Rahul Rejeev
Student Employee, Computer Science
Undergraduate, Vice Provost for Undergraduate EducationBio- An incoming Freshman interested in urbanism, computing, and the outdoors.
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Anka Reuel
Ph.D. Student in Computer Science, admitted Autumn 2022
Current Research and Scholarly InterestsCompared to the technical advancements in AI, the area of technical AI ethics is significantly understudied. Novel, complex autonomous systems are being developed without devoting enough time to their potential negative implications and how they can be mitigated. Given the increasing use of such systems throughout society, this discrepancy sparked Anka's interest in contributing to research in responsible AI, both from a technical and a governance perspective.
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Stephen E Richardson
Software Developer Associate, Electrical Engineering
BioPublications: https://scholar.google.com/citations?user=O3IrDzwAAAAJ
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Mouhssine Rifaki
Graduate Visiting Researcher Student, Electrical Engineering
Current Research and Scholarly InterestsI work on sample complexity reduction in reinforcement learning by exploiting latent structure in Markov decision processes such as low-rank Q-functions, spectral gaps, and manifold geometry. My broader interests lie at the intersection of reinforcement learning, control theory, and multi-agent systems, with applications to autonomous driving and adaptive sensing.
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Ellen Youngsoo Rim
Assistant Professor of Chemical Engineering
BioPlants are increasingly vulnerable to environmental stressors—such as pathogen infection, drought, and heat—from climate change. These challenges threaten global food security and limit the carbon sequestration potential of plants. Our research goal is to sustainably enhance plant productivity and resilience through protein engineering. We engineer proteins involved in plant immune and hormone signaling pathways using directed evolution in high-throughput single cell systems. Directed evolution is a synthetic biology approach that enables rapid development of proteins with novel or improved functions. We combine this approach with machine learning, which allows us to learn from large datasets generated during the directed evolution process. Engineered proteins are then introduced into plants to enhance crop yields and climate resilience.
