Joy Kitson, a University of Maryland DOE CSGF recipient, models how infectious disease moves through populations — incorporating increasingly realistic information about populations and human behavior.
Notable DOE CSGF alumna Amanda Randles models blood circulation — and is a role model for beginning scientists. Her Duke team continues to improve and expand the model’s biomedical uses, which include building digital twins, or computational copies, of patients’ circulatory systems and studying how metastasizing cancer cells travel through the bloodstream.
Ishani Ganguly, a Columbia University DOE CSGF recipient, creates models of the neuronal connections in the fruit fly brain that support learning. The work could also help researchers understand similar circuits and processes in humans and other complex organisms.
Sonia Reilly, a New York University DOE CSGF recipient, accelerates algorithms that run vital processes backward. She starts with the answer and then estimates the values of the parameters.
The two former computational science fellows were recognized for their science and their impact as mentors, teachers and volunteers.
Abigail Poteshman, a University of Chicago DOE CSGF recipient, is laser-focused on developing computer models for determining the optimal materials for quantum information and semiconductor technologies.
FSU’s Kenneth Hanson is cited as a model for professional service and scientific and professional outreach.
Thirty new Ph.D. students will apply high-performance computing to innovative research in fields from quantum computing and AI to energy science.
Caleb Ju, a Georgia Tech DOE CSGF recipient, models renewable energy and other problems with ever-changing unknowns.
Marianne Cowherd, a University of California Berkeley DOE CSGF recipient, applies machine learning to snowpack monitoring and more.