Exciting Directions in Systems for Machine Learning

Jeff is the Chief Scientist for Google Research and Google DeepMind, and co-leads the Gemini project. He has worked for many years at the intersection of computer systems for machine learning, including work in ML accelerators, low-level software and frameworks for machine learning, work on sparse model architectures, algorithms like distillation and neural architecture search, training of large language and multimodal models, and applications of machine learning to areas like ASIC design, healthcare, and translation. He is a recipient of the ACM Prize in Computing, the IEEE John von Neumann medal, the Mark Weiser Award, & best paper awards at NeurIPS, OSDI, OOPSLA, PLDI, SOSP, & MLSys. He is a Fellow of the ACM, and a member of the US National Academy of Engineering, & the AAAS.