Data Science, Natural Language Processing & Speech
Our research makes it easier and more intuitive to use Meta's products and find ways to facilitate meaningful social interactions. Our work spans a variety of disciplines, including computational social science, econometrics, operations research, market intelligence, survey science, and statistical computing. We employ numerous methods to accomplish our goals, including machine learning, field experiments, surveys, and information visualization. We also build scalable platforms for the collection, management, and analysis of data, and actively contribute our scientific findings to the academic research community.
Visit our Core Data Science page to learn more about the team's unique research and contributions.
Artificial Intelligence, Data Science, Machine Learning, Networking & Connectivity, Systems & Infrastructure
Artificial Intelligence, Data Science, Economics & Computation, Machine Learning
Xuhai Xu, Mengjie Yu, Tanya Jonker, Kashyap Todi, Feiyu Lu, Xun Qian, João Belo, Tianyi Wang, Michelle Li, Aran Mun, Te-Yen Wu, Junxiao Shen, Ting Zhang, Narine Kokhlikyan, Fulton Wang, Paul Sorenson, Sophie Kahyun Kim, Hrvoje Benko
Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu
Imanol Arrieta-Ibarra, Paman Gujral, Jonathan Tannen, Mark Tygert, Cherie Xu