Research

We develop nonlinear dynamical systems methods to solve complex problems in applied science and engineering. We specialize in divising analytical and numerical techniques for problems with nonstandard features: high-dimensional, strongly nonlinear, time-dependent or multi-scale. Such problems are also often defined through spatially and temporally limited data sets, not by equations. Examples include the analysis of transport processes and coherence in the ocean and the atmosphere, real-time detection of aerial turbulence near airports, theory and control of unsteady aerodynamic separation, dynamics of inertial particles under memory effects, and dynamic transition state theory in chemical reaction dynamics.