Xin Luna Dong is Principal Research Scientist at Meta Reality Labs, where she is leading the machine learning efforts to build an intelligent personal assistant. Developing an intelligent personal assistant includes work in contextual AI, multimodal conversation, search, and question answering, as well as recommendation and personalization. Her research interests include databases, data mining, natural language processing (NLP), and machine learning. Prior to joining Meta, she spent a decade working on knowledge graphs at Amazon and Google.
Dong’s honors include the VLDB Women in Database Research Award, and the VLDB Early Career Research Contribution Award. This year she was named an ACM Fellow and an IEEE fellow for contributions to knowledge graph construction and data integration.
She was recently featured on an episode of ACM Bytecast, where she discussed how early experiences growing up in China sparked her interest in computing, how her PhD experience in data integration lay the groundwork for future work with knowledge graphs, and much more.
To read Dong’s People of ACM interview, visit: [ Ссылка ]
The People of ACM series highlights the unique scientific accomplishments and compelling personal attributes of ACM members at the forefront of advancing computing as a science and a profession. These bulletins feature ACM members whose personal and professional stories are a source of inspiration for the larger computing community.
To read more People of ACM interviews, visit: [ Ссылка ].
