About me
A student researcher trying to understand the hardest things to predict — vehicles that evade prediction, systems that learn, and a universe that is uncertain at its core.
I'm Neil Akhawat, a student researcher fascinated by the boundary between what we can compute and what we can never quite pin down. My work sits where aerospace, machine learning, and quantum mechanics meet — three fields bound together by a single question: how do you predict something that resists being predicted?
Right now that question takes a very concrete form. A hypersonic glide vehicle flies at Mach 5–25, maneuvers on its way down, and wraps itself in plasma that blinds radar at exactly the moment tracking matters most. I'm building a physics-constrained pipeline that reconstructs a vehicle's hidden aerodynamic state from noisy sensor data and forecasts where it will go — a calibrated confidence corridor rather than a single guess.
Around the core research, I write to make hard ideas legible — from missile flight regimes to Heisenberg's uncertainty principle — and I make video explainers that break these topics down for anyone curious about how the physical and computational world actually works.
I believe the most interesting problems live at the edge of certainty, and I'm building the tools — and the intuition — to work there.