Columbia University’s Tal Danino will receive $1.25 million over five years supporting his work engineering bacteria to deliver therapeutics to tumors.
The test Hannah De Jong and colleagues from Stanford University and other organizations developed also decodes host genetic data, which are useful in developing treatments.
Friends – and DOE CSGF recipients – team up with Toyota and Berkeley Lab, combining serendipity and machine learning in a search for sustainable-energy materials.
Matthew Carbone and Brookhaven National Laboratory researchers use machine learning techniques to quickly provide insights into properties of materials and molecules.
