Danqi Chen (simplified Chinese: 陈丹琦; traditional Chinese: 陳丹琦; pinyin: Chén Dānqí, IPA: [ʈ͡ʂʰə̌n tan t͡ɕʰǐ]; born in Changsha, China) is a Chinese computer scientist and assistant professor at Princeton University specializing in the AI field of natural language processing (NLP).[1] In 2019, she joined the Princeton NLP group, alongside Sanjeev Arora, Christiane Fellbaum, and Karthik Narasimhan.[2] She was previously a visiting scientist at Facebook AI Research (FAIR). She earned her Ph.D. at Stanford University and her BS from Tsinghua University.[1]
Chen is the author of Neural Reading Comprehension and Beyond, a dissertation on using artificial intelligence to access knowledge in ordinary and structured documents.[3] She is the author or co-author of a number of journal articles, including Reading Wikipedia to Answer Open-Domain Questions.[4]
Google's SyntaxNet is based on algorithms developed by Danqi Chen and Christopher Manning at Stanford.[5]
Her primary research interests are in text understanding and knowledge representation and reasoning.[6]
She won a gold medal at the 2008 International Informatics Olympiad.[7] She is known among friends as CDQ.[1] A well known algorithm in competitive programming, CDQ Divide and Conquer, is named after this acronym.[8]
She is married to Huacheng Yu, an assistant professor in theoretical computer science at Princeton University.[9][10]
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