Dr. Maryam Yashtini is an applied mathematician and researcher specializing in artificial intelligence, machine learning, deep learning, and optimization. She develops mathematical and computational frameworks that make AI systems more efficient, interpretable, scalable, and trustworthy, with applications in medical imaging, computer vision, large language models, and multimodal data integration. Her work bridges advanced optimization theory with modern deep learning architectures to enhance image reconstruction, disease detection, and reliable AI decision-making. Her research on algorithms that accelerate and improve MRI quality has earned national and international recognition and has been featured in academic and media outlets highlighting advances in AI and imaging science.
Prior to joining Georgetown, Dr. Yashtini earned three master’s degrees in Mathematics and Engineering, a Ph.D. in Mathematics from the University of Florida, and completed three years as a postdoctoral fellow at Georgia Tech.
Academic Appointment(s)
- Primary
- Assistant Professor, College - Department of Mathematics and Statistics