Andrew Dai
Andrew Dai is a research scientist (director) at Google DeepMind. He did his PhD at the University of Edinburgh before joining Google Brain 10 years ago in 2014 where he did research on language models, story generation and conversational agents and worked on products including SmartReply and SmartCompose. He moved to Google Health in 2017 to research deep learning for medical records. He then returned to continue research at Google Brain (now Google Deepmind) in 2020 and since then has co-led the development and training of LLMs including PaLM 2 and GLaM. Andrew also continues to do research on language, works on Google SGE modelling and is the co-lead for Gemini data. He's continually excited by the new abilities we see from LLMs.

Andrew’s sessions

Andrew will be contributing to these sessions at Data + AI Summit 2024: