Meet the graduates: Julie Hugunin

A biology major in Northeastern’s Honors Pro­gram and a 2016 Pres­i­den­tial Global Fellow, Julie Hugunin plans to pursue an MD/​PhD pro­gram to com­bine her clin­ical and research inter­ests, informed by a holistic approach. “North­eastern is about putting your­self out there and being fear­less,” she says.

3Qs: What coral bleaching in the Great Barrier Reef means for the world

Marine sci­en­tists in Aus­tralia recently reported that 93 per­cent of the Great Bar­rier Reef is now bleached. Northeastern’s Steven Vollmer explains why the con­di­tion, typ­i­cally the result of warming ocean tem­per­a­tures, could lead to “the ocean’s equiv­a­lent of a rain­forest with no trees.”

Northeastern researchers work to keep hospital-​​acquired staph infections in check

Hospital-​​related staph infec­tions are ram­pant, with hun­dreds of thou­sands being reported in the U.S. each year. North­eastern researcher Kim Lewis and his col­leagues are at the fore­front of devel­oping new drugs to stop the trend.

Northeastern honors community’s highest achievements

The uni­ver­sity cel­e­brated the highest achieve­ments of stu­dents, fac­ulty, and staff at the sixth annual Aca­d­emic Honors Con­vo­ca­tion on Thursday after­noon in East Village.

And the winners are…

The breadth and depth of Northeastern’s research and entre­pre­neurial spirit was on full dis­play Thursday at RISE:2016, the university’s Research, Inno­va­tion, and Schol­ar­ship Expo. Industry leaders judged some 400 projects, which detailed the work of more than 900 North­eastern stu­dents and fac­ulty. The judges sub­mitted their rat­ings and the top award win­ners were rec­og­nized at an after­noon recep­tion in East Village.

What social media data could tell us about the future

Can a flow of infor­ma­tion across Twitter signal when a momen­tous event is about to occur? Northeastern’s Alessandro Vespig­nani and an inter­dis­ci­pli­nary group of sci­en­tists devel­oped a method to find out. Their find­ings rep­re­sent an ini­tial step in con­structing models to detect trouble before it’s too late.