Stanford University
Showing 4,201-4,300 of 6,042 Results
-
Yash Rampuria
Masters Student in Aeronautics and Astronautics, admitted Autumn 2025
BioI am an MS student, pursuing robotics at Stanford University. I am particularly interested in AI applications to autonomous mobility. My work at the Indian Institute of Technology Bombay has spanned the intersection of computer vision, SLAM and controls for self-driving, drones and healthcare. I have served as the CTO of Autonomous systems at IIT Bombay Racing Driverless, leading a team of 100+ students in building self-driving race cars for Formula Student, United Kingdom.
Leading multiple teams throughout my education has allowed me to hone my teamwork and management skills, while staying deeply involved in engineering and technology. -
Akshita Rao
Ph.D. Student in Bioengineering, admitted Autumn 2022
SU Student - Summer, Summer SessionCurrent Research and Scholarly InterestsMultimodal electrophysiology, sleep neuroscience
-
Ashwin Rao
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioMy current research and teaching is in Machine Learning (specifically RL) with applications to Financial Markets and Retail businesses. My academic origins are in Algorithms Theory and Abstract Algebra. More details on my background are here: https://www.linkedin.com/in/ashwin2rao/
My Stanford Home Page: https://stanford.edu/~ashlearn
CME 241 ("RL for Finance"), which I teach each Winter quarter: http://cme241.stanford.edu -
Christopher Re
Professor of Computer Science
Current Research and Scholarly InterestsAlgorithms, systems, and theory for the next generation of data processing and data analytics systems.
-
Daniel Reichman
Affiliate, Program-Barrett, C.
BioDaniel Reichman is an Associate Professor at WPI and a Visiting Scholar at the Department of Computer Science at Stanford University (starting July 2026). He is interested in theoretical questions arising from artificial intelligence as well as using AI for mathematical and scientific discovery. Reichman completed his PhD in computer science and applied mathematics at the Weizmann Institute and held postdoctoral scholar positions at Cornell, Berkeley and Princeton.
-
Kate Reidy
Affiliate, Materials Science and Engineering
BioKate Reidy will begin as an Assistant Professor of Materials Science and Engineering at Stanford in September 2026. Her research takes a ‘bottom up' approach to nanoscale design, tailoring material properties by understanding and manipulating their atomic structure. She combines advanced characterization with in situ microscopy to elucidate growth mechanisms, chemical composition, and response to stimuli at the atomic scale.
Her research group aims to push the limits of nanoscale engineering by observing and controlling atomic-scale kinetic and thermodynamic phenomena such as adsorption, diffusion, nucleation, defect and interface formation - mapping such structural dynamics to quantum, energy, and opto-electronic properties. She is broadly interested in the functional utilization of quantum properties of nanomaterials in our classical world.
Prior to joining Stanford, Kate was a Miller Postdoctoral Fellow at UC Berkeley and Lawrence Berkeley National Lab. She completed her PhD in Materials Science & Engineering at MIT as a MIT Energy initiative and William Asbjornsen Albert Memorial Fellow, entitled 'Atomic-Scale Design at the 2D/3D Interface using Electron Microscopy'. She received her B.Sc in Nanoscience, Physics, and Chemistry of Advanced Materials from Trinity College Dublin, Ireland. Her work has been recognized by the MIT School of Engineering, Microscopy Society of America, Materials Research Society Gold Award, 'Best Doctoral Thesis' Award at MIT DMSE. -
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.
-
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.
-
Mark Christian Reynolds
Academic Program Professional, Program-Jewett, M.
Current Role at StanfordAcademic Program Professional (School of Engineering)
-
Stephen E Richardson
Software Developer Associate, Electrical Engineering
BioPublications: https://scholar.google.com/citations?user=O3IrDzwAAAAJ
-
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.
