Bashar Alhafni
Assistant Professor at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)
Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Summary
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Senior🎓
Top SchoolBashar Alhafni is an Assistant Professor of Natural Language Processing at MBZUAI with nine years of industry and research experience spanning grammatical error correction, machine translation, timeline extraction, and abstractive summarization. He completed a PhD at NYU after research roles at USC/ISI and internships at Grammarly and Dataminr, bringing a strong blend of academic rigor and applied NLP in production contexts. His work includes reinforcement learning for multilingual dictionary processing and contributing neural baselines for temporal relation extraction on narrative datasets, highlighting a focus on low-resource and temporal NLP challenges. Comfortable bridging research and engineering, he has experience shipping NLP features in industry settings and teaching large graduate cohorts, indicating both mentorship and product-oriented instincts. Based in Abu Dhabi, he pairs deep technical expertise with cross-cultural project experience across the US and UAE.
9 years of coding experience
7 years of employment as a software developer
Masters of Science Computer Science, Masters of Science Computer Science at University of Southern CaliforniaDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at New York UniversityBachelors of Science Computer Science Minor in Mathematics, Bachelors of Science Computer Science Minor in Mathematics at University of Bridgeport
English, Arabic, French
Stackoverflow
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Github Skills (23)
named-entity-recognition10
stemming10
sentiment-analysis10
arabic10
morphological-analysis10
arabic-nlp9
natural-language-processing9
nlp9
language-model8
type-error8
annotate8
deep-learning8
language-processing6
pytorch4
error-detection4
Programming languages (3)
Github contributions (5)
CAMeL-Lab/gender-reinflection
Mar 2020 - Dec 2020
Code, models, and data for "Gender-Aware Reinflection using Linguistically Enhanced Neural Models". COLING 2020, GeBNLP.
Contributions:321 commits, 1 push in 8 months
arabicdeep-learningnlp
CAMeL-Lab/CAMeLBERT
Feb 2021 - Apr 2021
Code and models for "The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models". EACL 2021, WANLP.
Contributions:90 commits, 6 pushes, 4 comments in 2 months
language-modelnlparabic-nlpdeep-learning
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