About

I am a Ph.D. candidate in Mathematics at Rutgers University. My research connects explicit mathematics, robust learning, and high-performance scientific computation.

My doctoral research in computational algebraic geometry is advised by Lev Borisov. I develop computational methods that turn higher-dimensional existence results into explicit defining equations, with a current focus on fake projective planes.

I am also developing research directions in singular learning theory for robust large language and quantitative models, and in online scientific computation for real-world dynamical systems. Across these areas, I am interested in the mathematical obstructions that limit reliable computation and in algorithms that make abstract theory operational.

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