RESEARCH
Motivated by the rapidly expanding convergence of artificial intelligence and biomedical research, Abdelrahman’s work centers on leveraging state-of-the-art techniques from computer vision and natural language processing to address some of healthcare’s most complex challenges. His research spans a wide spectrum of frontier AI, including the development of large vision-language models and agentic AI systems tailored for various scientific tasks.
He has contributed to the design of generative vision-language models for interpreting radiological imaging, foundation models that tackle the inherent data imbalance in single-cell transcriptomics, and diffusion-based approaches for modeling spatially resolved transcriptomic data, pushing the boundaries of how AI can accelerate discovery in biology and medicine.
Beyond biomedical AI, Abdelrahman has worked on building and optimizing large-scale Arabic language models and natural language understanding pipelines for voice assistants and conversational agents. His experience also includes deploying computer vision systems and agentic AI frameworks powered by large language models for real-world applications, bridging research and deployment across domains.

BIOGRAPHY
Abdelrahman is a graduate researcher in Computer Science at King Abdullah University of Science and Technology (KAUST), where he is pursuing a combined M.Sc./Ph.D. degree. Prior to joining KAUST, he earned his B.Sc. in Artificial Intelligence from the University of Jordan, graduating as valedictorian and first in his class.
During his undergraduate years, Abdelrahman demonstrated a strong commitment to leadership and community building. He founded Jordan’s first IEEE Computational Intelligence Society Student Chapter, mobilizing and mentoring a team of over 50 volunteers. The chapter’s initiatives have since impacted thousands of students across multiple academic cohorts, leaving a lasting legacy. In his senior year, he conducted research as a visiting scholar at KAUST and simultaneously was a research assistant at the Computational Imaging Lab at the University of Jordan, where he contributed to pioneering work at the intersection of imaging, healthcare, and AI.
Abdelrahman has gained diverse industry experience across multiple sectors. He worked as a software engineer at Wiley, one of the world’s largest publishing companies, and as a data scientist at BCG X, the technology and design division of the Boston Consulting Group, recognized as a global leader in digital transformation. He also served as a teaching assistant with the KAUST Academy under Prof. David Pugh, where he helped deliver AI education to M.Sc. students at King Fahd Security College, Ministry of Interior in Riyadh, Saudi Arabia.
His journey into AI began even earlier. Abdelrahman graduated from Ibn Khaldun High School in Industrial Yanbu City – the top-ranked high school in Saudi Arabia at the time – where he led the school’s robotics team and discovered his passion for intelligent systems and software design.
Driven by a deep commitment to advancing Saudi Arabia’s leadership in technology and innovation, Abdelrahman aspires to become a leading figure in the field of AI, translating cutting-edge research into real-world solutions that serve national priorities and make a global impact.

Education:
Ph.D. in Computer Science, King Abdullah University of Science and Technology (KAUST), TBD
M.Sc. in Computer Science, King Abdullah University of Science and Technology (KAUST), 2025
B.Sc. in Artificial Intelligence, The University of Jordan, 2024