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.

His work aims to deepen our understanding of dark matter, dark energy and other secrets of the universe.

From middle schoolers to graduate students, more than 300 were introduced this year to real-world science, technology, engineering and math.