How Cells Move

A new computational model clarifies the structure and mechanics of soft, shape-changing cells, potentially giving scientists a better understanding of cancerous tumors, wound healing, and embryonic development.

What's in the Air?

Yale engineers have found that a type of air pollution is much more complicated than previous studies indicated.

Quantum Engineering

Yale researchers have been selected by the U.S. Department of Energy to develop the core quantum computing and networking components that would make the uncanny world of quantum physics realistic for computing.

Water Treatment Breakthrough

Inspired by Actinia, a sea organism that ensnares its prey with its tentacles, a team of researchers has developed a method for efficiently treating water.

Yale Engineering Now Available

Studying the science of artists' materials and tools, engineering's contribution in winning an NCAA Championship, and building safer, healthier athletes. It's all in the latest issue of Yale Engineering.

Yale School of Engineering & Applied Science

News

Replicating Surfaces, in Extreme Detail

Yale researchers have developed a procedure that can replicate surface structures at the atomic scale - a breakthrough that could lead to better catalysts, improved data storage, and other novel...

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.