work

Graduate Researcher

MIT — van Rees Lab

Apr 2026 — Present Cambridge, MA

Master thesis research on machine-learning surrogates for computational fluid dynamics, focusing on long-horizon stability of learned flow-map operators.

Research on data-driven surrogates for incompressible turbulence, with an emphasis on rollout stability, Sobolev-aware training objectives, and physics-informed regularization.