
Abdellah EL MEKKI, Ph.D.
Machine Learning / Natural Language Processing Researcher
I’m a Postdoctoral Researcher at the University of British Columbia (UBC), working on inclusive large language models adapted to specific languages and cultures across modalities (text, audio, and images), including low-resource and under-represented languages. I also work on research and applied science projects where machine learning intersects with other fields. My work has applied machine learning to network intrusion detection, biology (peptide sequencing), time-series modeling, anomaly detection, and a range of tabular-data problems. Across these domains, I have explored customized input-representation methods, from classical ML methods to adapted Transformer architectures. I have 10+ peer-reviewed publications in venues such as ACL, EMNLP, and NAACL. I hold a PhD in Computer Science from Mohammed VI Polytechnic University (Morocco) and previously completed a postdoctoral year at MBZUAI (UAE). Beyond my research, I have served as an Area Chair for ACL Rolling Review, as a reviewer for leading AI/ML venues and journals including NeurIPS, and as an organizer of workshops and shared tasks at top-tier AI conferences.
Availability: Open to collaborations and consulting.
Research Areas
- Multilingual and cross-lingual NLP
- Multicultural NLP
- Low-resource and under-represented languages
- Large Language Models and instruction tuning
- Sequence labeling (NER, POS), morphology, and syntax
- Dialect identification and language variety modeling
- Domain adaptation and transfer learning
Awards
- Best Resource Paper, ACL 2025
- Area Chair Award (Machine Translation and Multilingualism), IJCNLP-AACL 2023 (official announcement)