Summary
Sarah Alghamdi is an Assistant Professor and AI researcher with eight years of experience applying statistical methods and artificial intelligence to genomics and healthcare. She holds a PhD in Artificial Intelligence and a Master's in Computer Science from KAUST, and progressed from instructor to faculty at King AbdulAziz University, blending teaching with research. Her background includes teaching advanced AI courses and hands-on roles—ranging from lab maintenance to ASP.NET instruction—showing a practical, student-centered approach to technology education. Sarah’s work sits at the intersection of computational methods and biomedical problems, emphasizing reproducible, statistically grounded solutions for clinical and genomic data. Based in Thuwal, Saudi Arabia, she brings regional academic leadership and international doctoral training to growing AI programs locally. Colleagues note her ability to translate complex AI concepts into classroom-ready curricula and applied research projects.
7 years of coding experience
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at KAUST (King Abdullah University of Science and Technology)
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at King AbdulAziz University