I am currently researching charge transfer in explicitly solvated BiVO4-water systems with the Material and Process Simulation Center at Caltech. My research interests are broadly machine learning applied to the physical world, but I also enjoy exploring.

Publications

Frobenius Normalization for Quantum State Denoising - Presented at IEEE qCCL 2026

A quantum state describes the probabilities of a quantum system. The problem: systems decohere over time, losing information to the environment. I use neural networks to reconstruct full states from incomplete measurements. The challenge is that mixed states become smaller, requiring the model to learn both rotation and stretching. My solution scales the input to their norm, enabling the model to handle larger systems.