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Engineering
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Data Science for the Brain

For research that could lead to – among other advances – better analysis of the brain, Amin Karbasi has won a 2019 NSF CAREER Award.

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Bioengineered Blood Vessels

In one of the longest follow-up studies of its kind, researchers found that their specially bioengineered blood vessels evolved into living tissue after human implantation.

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Optimizing Surgery

Blood, fat, and anything else that gets in the way can make things tricky for surgeons. Working with faculty from the Yale School of Medicine, engineering students have come up with a solution.

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BranchedPolymers

For his work in developing a new polymer that could be used for biomedical applications as well as water filtration, Mingjiang Zhong has won a 2019 NSF CAREER Award.

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Unprecedented Material

Borrowing a method from the field of drug discovery, a team of researchers has developed a material that combines the best properties of ceramics, metals and plastics.

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Yale School of Engineering & Applied Science

News

Yale Student Engineers Helped Lacrosse Goalies Lift National Title

Yale's lacrosse coaches wanted to provide their goalies with additional training a couple of years ago, but they faced several obstacles. One was a good problem to have: their defensemen were so...

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Faculty Spotlight
Daniel Spielman

Daniel Spielman
Sterling Professor of Computer Science, Statistics and Data Science and Mathematics 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.