The aesthetic beauty embodied by new research from associate professor of physics Latika Menon is the very thing that makes it useful for a range of advanced technologies.
New research from physics professor Mark Williams stands to transform HIV/AIDS drug discovery by elucidating a long-held paradox about the molecules that form our first line of immune defense against the virus.
Communities with strong mutualistic interactions tend to be more resilient, according to a new study by Filippo Simini, a postdoctoral research associate in Northeastern’s Center for Complex Network Research.
In new research, network scientist Alessandro Vespignani and his team show through computational modeling that a hypothetical attack involving smallpox may spread to two or four countries before the first cases are ever diagnosed.
Assistant professor of physics Toyoko Orimoto received an Early Career Award from the Department of Energy to study physics beyond the Standard Model.
Baruch Barzel, a postdoctoral researcher in world-renowned network scientist Albert-László Barabási’s lab, has worked out a method for mapping the interactions between cellular components, moving the team a step closer in its quest to understand, predict, and control disease.
Distinguished Professor of Physics Sri Sridhar is establishing Northeastern as the go-to knowledge resource for clinical and commercial translation of basic university research.
A little over a year ago, Justin Dowd’s boss bought a pack of colored chalk to write the day’s specials on the wall. Little did he know, that chalk would change […]
When economists talk about producers and consumers—the people that make stuff and the people that use it—they’re usually thinking about commodities like coffee, wheat, or oil. Not knowledge. That’s because […]
I’ve written about Dagmar Sternad’s work a few times, here and here and most recently here, when she had a bunch of middle schoolers come hang out in her lab […]
In 2009, Northeastern University network scientist Alessandro Vespignani developed a computational model that predicted the spread of the H1N1 virus. Three years later, new studies show that these predictions were highly accurate.
Physics professor Srinivas Sridhar and his team of researchers are developing new technology that could be useful for a variety of applications from detecting military threats to tracking epileptic seizures..