Shubhaditya Burela

I am a Computational Researcher bridging fluid dynamics, applied mathematics, and machine learning. My work focuses on developing nonlinear Model Order Reduction (MOR) frameworks and custom neural networks to solve complex, transport-dominated reactive flow problems. From modeling wildland fire propagation to decoupling nonlinear detonation waves for aerospace engines, I specialize in applying methods like ADMM and adjoint-based optimization to translate rigorous mathematical theory into practical, high-performance software (Python, C++, PyTorch).