Summary
Chatrine Qwaider is a Postdoctoral Researcher and data science/NLP engineer with eight years of experience specializing in machine learning and Arabic language technologies. Currently affiliated with Mohamed bin Zayed University of AI and Chalmers University of Technology, she focuses on Arabic dialects, leveraging LLMs for writing assistants, generative-detection, data augmentation, and evaluation. She holds a PhD in Computational Linguistics from the University of Gothenburg, where her research examined relations between Modern Standard Arabic and dialects through language modeling, sentiment analysis, and deep learning. Her background spans academic research and practical engineering roles—including database programming and teaching—giving her a rare blend of theoretical rigor and production-minded implementation. Colleagues describe her as a methodical researcher who uncovers linguistic patterns in messy, real-world data and turns them into deployable models. Based in Abu Dhabi, she brings cross-cultural perspective to Arabic NLP challenges and a track record of moving research toward applied tools.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) computational linguistics, Doctor of Philosophy (PhD) computational linguistics at University of Gothenburg
Swedish, English, Arabic