School of Engineering
Showing 521-540 of 542 Results
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Róbert Csordás
Postdoctoral Scholar, Computer Science
BioI am a postdoctoral researcher in the Stanford NLP Group, supervised by Prof. Christopher Manning and Prof. Christopher Potts. Previously, I did my PhD in IDSIA, supervised by Prof. Jürgen Schmidhuber. I work on systematic generalization, mainly in the context of algorithmic reasoning. This drives my research interest in network architectures (Transformers, DNC, graph networks) with inductive biases like information routing (attention, memory) and learning modular structures. My goal is to create a system that can learn generally applicable rules instead of pure pattern matching but with minimal hardcoded structure. I consider the lack of systematic generation to be the main obstacle to a more generally applicable artificial intelligence.
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Adam Ctverak
Masters Student in Aeronautics and Astronautics, admitted Autumn 2024
BioAs a leader of multiple international aerospace development projects, I've learned how to stay operationally efficient while facilitating the cooperation of national space agencies and private industry representatives. With five consecutive summers of experience working at American and European aerospace firms, coupled with my excellent academic standing, I am well-equipped to provide a relevant contribution to any aerospace project.
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Yi Cui
Fortinet Founders Professor, Professor of Materials Science and Engineering, of Energy Science and Engineering, of Photon Science, Senior Fellow at Woods and Professor, by courtesy, of Chemistry
BioCui studies fundamentals and applications of nanomaterials and develops tools for their understanding. Research Interests: nanotechnology, batteries, electrocatalysis, wearables, 2D materials, environmental technology (water, air, soil), cryogenic electron microscopy.
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Murray Connelly Cutforth
Physical Science Research Scientist
BioMurray Cutforth is a research scientist on the PSAAP III project at the Center for Turbulence Research. He works with Professor Eric Darve on uncertainty quantification of laser-ignited turbulent combustion. During his PhD at the University of Cambridge, Murray studied sharp interface methods for multi-material flow, and subsequently has worked on applications of machine learning in medical image and text analysis in industry.
