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Dr. Sabri Boughorbel
Lead Scientist
Educational Qualifications
Entity
Qatar Computing Research Institute
Division
Arabic Language Technologies
Biography
Dr. Sabri Boughorbel is a Lead Scientist at Qatar Computing Research Institute (QCRI) at Hamad Bin Khalifa University where he leads the LLM Modeling Team in Arabic Language Technology. Dr. Boughorbel holds a PhD in Machine Learning from the University of Paris Saclay. With over 15 years of experience in machine learning and artificial intelligence, he has made significant contributions to healthcare analytics, language modeling, and computer vision. Before his current role, he served as e-Health Lead at QCRI and held various scientific positions at Sidra Medicine and Philips Research. His expertise spans pretraining large language models, healthcare applications of AI, and the development of machine learning techniques.
- Pretraining and fine-tuning of large multilingual models
- Development of A.I. techniques for large language modeling
- Application of LLMs in healthcare
- Machine learning for clinical data analysis
Lead Scientist
Qatar Computing Research Institute, Hamad Bin Khalifa University
2021 - Present
Staff Scientist
Bioinformatics, Sidra Medicine
2014 - 2021
Senior Scientist
Data Science, Philips Research, Netherlands
2006 - 2014
AlSaad, R., Abd-Alrazaq, A., Boughorbel, S., & others. (2024). Multimodal large language models in health care: Applications, challenges, and future outlook. Journal of Medical Internet Research, 26, e59505.
AlSaad, R., Malluhi, Q., & Boughorbel, S. (2022). PredictPTB: An interpretable preterm birth prediction model using attention-based recurrent neural networks. BMC BioData Mining, 15(1).
Boughorbel, S., et al. (2022). Applications of machine learning for predicting heart failure.
Della Mina, E., Borghesi, A., Zhou, H., Bougarn, S., Boughorbel, S., Israel, L., Meloni, I., Chrabieh, M., Ling, Y., Itan, Y., & Renieri, A. (2017). Inherited human IRAK-1 deficiency selectively impairs TLR signaling in fibroblasts. Proceedings of the National Academy of Sciences, 114(4), E514–E523.
Boughorbel, S., Jarray, F., & El-Anbari, M. (2017). Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric. PLOS ONE, 12(6), e0177678.
Complete Publication Listing(s): Google Scholar
- Best Poster Award "AI-assisted identification of epileptic seizures using EEG signals" Shabir Moosaa, Sabri Boughorbel, Radi Farhad, Ruba Benini, Younes Mokrab 4th Annual Pediatric Neuroscience Conference 2024
- Grant award project "Developing Artificial Intelligence Models for Health Outcome Prediction in Neonatal Intensive Care Units in Qatar" ($598k, 2020)