Ruchi Sandilya

I am a postdoctoral researcher in the Grosenick Lab at Weill Cornell Medicine, working at the intersection of applied mathematics, control theory, and generative AI. My research focuses on developing controllable generative models for high-dimensional nonlinear dynamical systems, integrating structure-preserving numerical analysis with modern machine learning to build scientific digital twins. I apply these methods to complex physical and biomedical systems, from fluid flows and neural dynamics to brain stimulation modeling. My broader goal is to advance interpretable, mathematically grounded AI frameworks that enable discovery, control, and decision-making in scientific and medical domains.