I treat research as a synthesis problem: combine first-principles physics, modern AI, and deliberate experimentation into systems that can survive real engineering constraints.

Inspired by scientific thinkers in both theoretical physics and machine learning, I focus on clear assumptions, reproducible methods, and interpretable models.