Ammar Hakim

Ammar Hakim is a Lecturer and Principal Research Physicist at Princeton University's Computational Sciences Department. He holds a Ph.D. from the University of Washington (2006) and specializes in computational plasma physics, fusion energy, and high-energy astrophysics. His research focuses on tokamak turbulence, machine learning for PDEs, and electromagnetic simulations using advanced numerical methods like discontinuous Galerkin schemes.

• Roles: Deputy Head of Computational Sciences, Instructor for AST 560 (Computational Plasma Physics)
• Key Expertise: Plasma turbulence, kinetic processes, fluid dynamics, and high-performance computing
• Tools: Gkeyll simulation framework, discontinuous Galerkin methods, gyrokinetic theory

Research interests include plasma-material interactions, multi-fluid moment models, and hybrid kinetic-fluid approaches. His recent work addresses challenges in fusion edge plasmas, relativistic astrophysical systems, and formal verification of PDE solvers.