Latest News

Blumenthal, an assistant professor in the School of Mathematics, has been awarded an NSF CAREER grant continue tackling some of the most difficult questions in his field– those of chaotic fluid dynamics. Because Blumenthal’s work with fluid dynamics intersects with chaos and disorder, the impacts of his work range from weather prediction to how we model economics.

School of Chemistry and Biochemistry's Jesse McDaniel is creating a framework to predict chemical reaction rates, leveraging computer modeling techniques. Now, a new NSF CAREER grant will help him do so. “I am excited about the CAREER research because we are really focusing on fundamental questions that are central to all of chemistry,” McDaniel says about the project.

Agarwal’s award specifically focuses on his research into peptides, short strings of amino acids that make up proteins. “We’re making new types of peptides and modified peptides,” Agarwal explains. “Modifications in a lot of antibiotics that we use are actually peptides.”

On the U.S. Virgin Island of St. Croix, the ruins of a Danish sugar plantation built from harvested coral bricks could be the key to understanding how and why the area was decimated by the 18th-century transatlantic slave trade. With funding from the National Geographic Society, researchers at the Georgia Institute of Technology and the University of California, Los Angeles (UCLA) will travel to St. Croix to analyze this coral. They hope to determine how coral mining, dredging, and reef erosion affected near-shore biodiversity, contemporary coral populations, and bathymetry or underwater depth. The project uniquely combines archeology and oceanography.

Anton Bernshteyn is forging connections and creating a language to help computer scientists and mathematicians collaborate on new problems — in particular, bridging the gap between solvable, finite problems and more challenging, infinite problems. Now, an NSF CAREER grant will help him achieve that goal.

A team of researchers, including astrophysicists from Georgia Tech, the Institute for Advanced Study, and NSF’s NOIRLab, has developed a new machine-learning technique to enhance the fidelity and sharpness of radio interferometric images. To demonstrate the power of their new approach, which is called PRIMO, the team created a new, high-fidelity version of the iconic Event Horizon Telescope's image of the supermassive black hole at the center of Messier 87, a giant elliptical galaxy located 55 million light-years from Earth.