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 alumna Akbobek Abilkaiyrkyzy, who graduated with a master's in machine learning in 2022, has been involved in various domains, including industry, entrepreneurship, and sustainability. Her master's thesis focused on developing a chatbot for mental health problem detection, leading to the creation of WellRound, an app that uses data from various sources to improve mental and physical wellbeing. She further developed the app with support from the MBZUAI Incubation and Entrepreneurship Center (MIEC). Why it matters: This highlights MBZUAI's role in fostering AI innovation and entrepreneurship in the healthcare sector, as well as empowering its graduates to create solutions addressing critical societal needs.
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.
Maryam Ahmed Hassani, an MBZUAI graduate and head of trends and innovation at Abu Dhabi’s Early Childhood Authority (ECA), is integrating AI into early childhood development to create efficient and human-focused systems. She aims to develop tools that personalize support for parents and predict developmental risks early on. Hassani also co-founded Zealous, an AI startup focused on AI code generation and testing, launching AI-native products including an AI-automated tester for websites and web apps. Why it matters: This highlights the growing application of AI in public sector challenges within the UAE, specifically in early childhood development and software development.
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.