Trevor Gale

Trevor joined the Brain Team as part of the 2018 Brain Residency Program after doing his undergrad at Northeastern University. He started his PhD at Stanford University in 2019 and works with Matei Zaharia in the Future Data Systems group. In 2022, Trevor re-joined the Brain Team in the Brain Computer Architecture Research group. Trevor is broadly interested in next-generation machine learning models and their consequences for computer systems. At Northeastern, Trevor worked with David Kaeli on high-performance computing, general-purpose graphics processing units, and workload characterization, and with Jennifer Dy on deep learning and medical imaging. Trevor previously worked on large-scale distributed deep learning and computer vision at Samsung Research, and on the deep learning frameworks team at Nvidia, where he created the DALI data loading and augmentation framework and prototypes for the NVJPEG library. Trevor is originally from Maine, and enjoys eating food, surfing, skiing, running, swimming and cats. His favorite type of tea is mint. He loves coffee and as of joining Google developed enough of a caffeine tolerance to be able to drink it without getting jittery. He does not enjoy motorcycles that are too loud, and is no good at basketball. Previously, Trevor had been eating lots of lentils.