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'Sticky' Particles

Researchers discover that by tinkering with the surface properties of drug-loaded nanoparticles, they can potentially direct these particles to specific cells in the brain.

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Optimal Throwing Strategies

The act of throwing is incredibly complex and usually subject to a trade-off between speed and accuracy. A Yale researcher’s new study looks at why this is.

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Clean Water from a Plant-Based Membrane

A team of researchers has developed a plant-derived material that can be used to purify water potentially far more effectively than current petroleum-based membrane materials.

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Transforming Solar Cells

A group of Yale engineers have discovered a modification to a promising - but flawed – material, which could lead to a new generation of solar cells.

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Sensors in the Heart

Prof. Stuart Campbell received an NSF CAREER Award for a project that aims to identify the sensors in heart cells that trigger certain physiological changes.

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Yale School of Engineering & Applied Science

Faculty Spotlight
Daniel Spielman
Henry Ford II Professor of Computer Science and Applied Mathematics

Daniel Spielman's research interests include the design and analysis of algorithms, graph theory, machine learning, error-correcting codes and combinatorial scientific computing. His focuses on the development of extremely fast algorithms for large computational problems often found in machine learning, scientific computing, and optimization. His work has broad application in the transfer of digital information.