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. Researchers tackle a broad spectrum of topics, including pandemic modeling and forecasting, pathogen genomics, epidemiological big-data analytics, global health informatics, and vaccine development strategies
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big or small. The ability to work independently leading your own projects while communicating amongst a highly collaborative team and maintaining a friendly, positive attitude at all times is critical
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molecules from large high-throughput screens (Nature Communications, 16, 305-319, 2025; Food Chemistry, 491, 145215, 2025), the laboratory plans to use the newly discovered compounds towards fundamental
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at the intersection of Genomics, Personalized Medicine, Epidemiology, and Artificial Intelligence (AI). A key initiative within the school is the Human Phenotype Project—a groundbreaking, large-scale longitudinal
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at the intersection of Genomics, Personalized Medicine, Epidemiology, and Artificial Intelligence (AI). A key initiative within the school is the Human Phenotype Project—a groundbreaking, large-scale longitudinal
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focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference techniques. Our current
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development (R&D) of advanced machine learning (ML) models like Transformers, Vision Transformers, Large Language Models (LLMs) and other advanced deep learning models for vision-based applications. The focus
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, high-impact, and original research. Research topics include, but are not limited to; machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization
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Computer Vision - Open Rank Faculty Mohamed bin Zayed University of Artificial Intelligence: Academic Affairs Division: Computer Science Description Mohamed bin Zayed University of Artificial
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the realms of large language models, their underlying mechanisms and responsible applications, dialog systems, chatbots, Arabic NLP, machine translation, efficient and low resource NLP, speech recognition