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 computer science PhD student at NYU and a graduate research assistant at CAMeL Lab. Bashar's research interests lie in the fields of natural language processing and machine learning. Particularly, he is interested in mutlilingual natural language processing and language generation tasks such as grammatical error correction and machine translation. He is also interested in interpretability to understand how bias manifests in natural language processing models and in creating more robust and fair systems.

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 industry as a software engineer for multiple companies such as Morgan Stanley.