NAME: Andrew M. Dai, PhD
Title: Principal Research Scientist, Director
Company: Google
Education: PhD in Machine Learning, The University of Edinburgh (2012); BA in Computer Science, University of Cambridge (2006)
Career History: Principal Research Scientist, Director, Google (2012); Software Engineer Intern, Google (2008, 2009); Software Developer, Autonomy (2006-2007); ISAAS Intern, EY (2005)
Andrew Dai, Principal Research Scientist and Director at Google, has been recognized as a Marquis Emerging Leader for their contributions and achievements in the field of technology.
Attributing his success to blending his extensive research abilities with software engineering, Dr. Dai has excelled since 2012 in his role at Google, where he focuses on advancing technology and product development and wields particular expertise in large language models and machine learning. As a testament to his prominence there, he was recognized with a Tech Impact Award from the company in 2023. In the lead-up to this appointment, he gained experience as a software engineer intern at Google while earning a PhD in machine learning from the University of Edinburgh. He also previously worked as a software developer at Autonomy and an ISAAS intern at EY.
Growing up in China, Dr. Dai built on a fascination he had with the immersive world of video games to explore a passion for artificial intelligence in his high school years. This early intrigue with AI’s ability to simulate human-like behavior sparked a lasting interest that led him to pursue a career in this field. Upon graduating from high school, he obtained a bachelor’s degree in computer science at the University of Cambridge in England, where he authored a paper on the effectiveness of training and fine-tuning a language model to improve its ability to understand language, resulting in state-of-the-art performance. This paper was widely cited in subsequent GPT papers and published throughout Europe, having a far-reaching impact on the technology community.
Outside of his primary responsibilities, Dr. Dai has served as an area chair and peer reviewer for NeurIPS, nCino, and ICOR conferences and regularly donates to various charities. He also holds a dedicated membership with the Association for Computing Machinery. Looking toward the future, Dr. Dai aspires to assume leadership roles in a company and establish a start-up. His plans include leveraging AI to make substantial contributions to global advancements.
