UBC iSchool: School of Information
Faculty of Arts
Muhammad Abdul-Mageed is Assistant Professor of Computational Linguistics and Information Science (joint appointment), and Computer Science (courtesy) at the University of British Columbia.
His research focuses on deep representation learning and natural language socio-pragmatics, with two main goals: (1) development of `social’ machines for improved human health, safer social networking, and reduced information overload; and (2) use of machine learning as a vehicle for making discoveries with and about human language.
He completed a dual Ph.D. in Computational Linguistics and Information Science from Indiana University in 2015. Before UBC, he held multiple positions, including in the Center for Computational Learning Systems, Columbia University (2010-2012), the School of Informatics and Computing, Indiana University (2015-2016), and the University of Pennsylvania (2016-2018).
He has published more than 70 research papers in peer-reviewed venues. Examples of Dr. Abdul-Mageed's recent work include development of spatial and linguistically-motivated large-scale language models for natural language processing, decoding imagined speech from brain signal, neural detection of misinformation and machine-generated text, multilingual and latent variable neural machine translation, and billion-scale investigation of human communication during COVID-19. Dr. Abdul-Mageed’s work has been funded by Google, Natural Sciences and Engineering Research Council of Canada (NSERC), Social Sciences and Humanities Research Council of Canada (SSHRC), and Canadian Foundation for Innovation (CFI).