Matt J. Kusner

Whistleblower protections can be significantly strengthened using a novel $(0, δ)$-differential privacy framework that outperforms traditional methods in safeguarding against organizational retaliation.

Physics-informed neural operators can now generalize to unseen physical regimes and extrapolate in time by explicitly encoding the underlying operator structure and decomposing PDEs into interpretable components.