Their work uses machine learning to transform the way scientists tune particle accelerators for experiments and solve longstanding mysteries in astrophysics and cosmology.
A pioneer in developing methods for cryogenic electron microscopy, he directs two joint facilities for cryo-EM research and development on the SLAC campus.
The prestigious awards provide at least $2.5 million over five years in support of their work in understanding photochemical reactions and improving accelerator beams.