1. Professional Summary
Mona T. Diab is a globally recognized computer scientist and computational linguist specializing in natural language processing, multilingual AI, and responsible language technologies.
2. Education
Ph.D., Computational Linguistics, University of Maryland (2003)
M.Sc., Computer Science, George Washington University (1997)
B.Sc., Computer Science, American University in Cairo
B.Sc., Egyptology & Archaeology, Helwan University
Doctoral advisor: Philip Resnik; Postdoctoral advisor: Dan Jurafsky
3. Academic and Industry Positions
Director & Full Professor, Language Technologies Institute, CMU (2023–present)
Professor of Computer Science, George Washington University
Lead Responsible AI Research Scientist, Meta
Principal Scientist, Amazon Web Services AI
Research scientist roles at Columbia University and postdoctoral fellowship at Stanford
4. Research Interests
Trustworthy NLP and responsible AI
Cross-lingual and multilingual processing
Conversational AI and controllable natural-language generation
Computational socio-linguistics and health/social-media analytics
Arabic NLP and low-resource languages
5. Contributions and Leadership
Co-founded research initiatives such as *SEM Conference and code-switching workshops
Helped establish computational approaches to semantic text similarity and code-switching in NLP
Serves on editorial boards and global AI governance advisory committees
6. Selected Honors and Recognition
ACL Fellow (2023)
Selected among “Top Global AI Scientists of Arab Descent” by MIT Technology Review
Mentor and invited researcher in leading academic and policy programs worldwide
7. Publications and Scholarly Output
Mona Diab has authored 250+ peer-reviewed publications in NLP, AI, and computational linguistics.
Her work spans semantic textual similarity, misinformation modeling, language–society interactions, and Arabic language technologies.