A category for stories about CSGF fellows that might not be part of a ‘lab’ header.
An NYU fellow accelerates algorithms that run vital processes backward. Read More
Models of semiconductor defects point to improved qubit reliability. Read More
A Georgia Tech fellow models renewable energy and other problems with ever-changing unknowns. Read More
A UC Berkeley fellow applies machine learning to snowpack monitoring and more. Read More
A Harvard University fellowship recipient works to create quantum phases of matter. Read More
A Montana State fellow charts a path from physics and modeling to a form of pure math called category theory. Read More
A Caltech fellowship recipient works on the physics underlying turbulence, or the chaotic gain of energy when fluids move in… Read More
A recent program alum interweaves large and small scales in wind-energy and ocean models. Read More
At UC Berkeley, a fellow applies machine learning to sharpen microscopy. Read More
A Cornell University fellowship recipient works on methods for ensuring software functions as expected. Read More