Dr. Nithin Goona is a Postdoctoral Researcher at the University of Texas at El Paso, working at the intersection of computational physics and machine learning. He developed the Higher Order Jacobi Method for efficient GPU-based solvers in PyTorch. With a Ph.D. in Physics from NIT Goa, his interests span interpretable algorithms, high-performance computing, and world models as a foundation for future artificial superintelligence.