MBZUAI alumnus Numan Saeed is applying machine learning to medical imaging and cancer research as a research scientist at the University. He collaborates with UAE hospitals like Sheikh Shakhbout Medical City and Cleveland Clinic to build datasets and gather clinical feedback. Saeed's team is developing a model focused on head and neck cancer using the HECKTOR dataset and local data. Why it matters: This research contributes to the UAE's healthcare ambitions by enabling earlier diagnosis and personalized care through AI-driven analysis of medical images.
MBZUAI alumnus Ikboljon Sobirov is using AI to develop new diagnostic tools for cardiovascular disease at the University of Oxford. His research focuses on building imaging biomarkers by integrating transcriptomic data with medical scans. The goal is to predict how a patient will respond to specific medications using only images. Why it matters: This work showcases the potential of AI and multi-modal data to personalize medicine and improve healthcare outcomes in the region and globally.
MBZUAI alumnus Ahmed Sharshar is developing smaller AI models to make the technology more accessible, especially in resource-constrained environments like Egypt. His master's thesis involved creating an app that assesses lung health using mobile phone video analysis, eliminating the need for traditional medical devices. Sharshar is pursuing his Ph.D. at MBZUAI, focusing on lightweight and energy-efficient models for various applications. Why it matters: Democratizing AI through smaller, efficient models can enable broader applications and innovation across diverse sectors in the Middle East and beyond.
MBZUAI alumnus Steven Hoang, a 2023 Machine Learning graduate, is now an AI engineer at Wells Fargo, where he contributes to the company's AI strategy. Previously, Hoang worked at AbbVie as a natural language software developer and agentic AI software engineer. Hoang credits his time at MBZUAI for preparing him for this significant role, where he collaborates across departments and considers the broader impact of AI initiatives. Why it matters: This success story highlights MBZUAI's role in developing talent capable of leading AI initiatives at major global financial institutions.
Freddy Jimenez, regional innovation lead for Pfizer in the Middle East, Africa, and Russia, is working to implement AI solutions for healthcare challenges in the UAE. Jimenez joined the Executive Education Program at MBZUAI to expand his knowledge and drive the country's healthcare industry forward. He emphasizes the importance of strategic approaches to AI in healthcare due to rapid technological advancements outpacing regulation. Why it matters: This highlights the UAE's focus on leveraging AI to improve healthcare outcomes and the importance of collaboration between industry, academia, and government to accelerate AI adoption in the heavily regulated healthcare sector.