Maien Hamed

WORK HISTORY

EDUCATION

ABOUT MAIEN HAMED

I am a computational scientist and machine learning engineer working at the intersection of applied mathematics, mechanics, machine learning, and large-scale systems.My work focuses on problems where standard tools break down: ill-conditioned models, coupled physical and statistical systems, high-dimensional inference, and production constraints that invalidate purely academic solutions. I specialize in deriving models from first principles, understanding their numerical and statistical structure, and implementing them as reliable, scalable systems.I have led and built end-to-end solutions spanning mathematical formulation, algorithm design, high-performance implementation, and deployment in production environments. My background includes nonlinear mechanics and multiphysics simulation, Bayesian estimation and filtering, optimization, and modern machine learning systems.I work best on problems that require integrating physics-based models, probabilistic reasoning, and learning-based approaches into coherent, explainable, and extensible systems.