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.
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.