Graduate Fellow: Abigail See (2017)

Abigail See, from Cambridge, UK

Studying at Stanford University

Research: Abi's research focuses on the development of deep learning techniques for natural language understanding and generation tasks, such as translation and summarization. She's also interested in improving the interpretability of deep learning, and aims to devise representations of text that can be better understood by humans, while retaining the expressive power and flexibility of deep learning. Research Link

Bio: Abi is a second-year PhD student in the Computer Science department at Stanford University, where she works with Christopher Manning in the Natural Language Processing Group. She holds a BA and MMath in pure mathematics from Cambridge University, and has interned at Microsoft Research and Google Brain. Outside of research, Abi volunteers with outreach organizations that offer Computer Science tutoring and mentoring to high school girls.