Vanguards of HPC-AI: Sandia’s Siva Rajamanickam — AI for Science That ‘Outpaces Predictions’

“I am passionate about working in the broad areas of machine learning for science, codesign of algorithms and architectures, performance portable algorithms, and combinatorial scientific computing. I focus on improvements in each one of these areas to enable new science and the mission of a laboratory….”