Bashar Alhafni

Research Assistant Affiliation: NYU Abu Dhabi
Education: BS University of Bridgeport; MS University of Southern California

Research Areas: Computational Linguistics; Machine Translation; Machine Learning; Information Extraction; Reinforcement Learning

Bashar is a Research Assistant at the CAMeL Lab. His research interests are in multilingual natural language processing and machine translation. Bashar is currently working on creating and integrating multiple tools for Arabic NLP as well as exploring the problem of gender bias in Arabic machine translation.

Bashar received a Master of Science in Computer Science from the University of Southern California (USC) where he worked at the USC Information Sciences Institute (ISI) on low-resource machine translation, reinforcement learning, event relations extraction, knowledge representation, and semantic modeling. He also has a Bachelor of Science in Computer Science and Mathematics from the University of Bridgeport. Prior to his graduate studies, Bashar also had the chance to work in the industry as a software engineer for multiple companies such as Morgan Stanley.