Dynamic Systems & Ergodic Theory
Dynamic Systems & Ergodic Theory is a branch of analysis that studies the statistical properties of the involvement over time for a point in an ambient space. This topic has applications in many areas both within mathematics and in the real world, including but not limited to combinatorics, number theory, physics, and differential equations.
The image shown on the right is a picture of the Lorenz attractor, which arises in the study of a dynamical system called the Lorenz oscillator.
Research Advisors in Dynamic Systems and Ergodic Theory

Bio ItemIonuţGabriel Farcaş , bio
Professor Farcaș's research bridges scientific computing, highperformance computing, and computational physics. His work focuses on scientific machine learning, reduced and surrogate modeling, uncertainty quantification, and sparse grid and multifidelity methods. These computational techniques are designed to tackle complex, largescale numerical simulations, such as those arising in turbulent transport in fusion devices or combustion processes in rocket engines.

Bio ItemWenbo Sun , bio
Assistant Professor Wenbo Sun works on the problems lying at the interaction of ergodic theory, combinatorics, and number theory.

Bio ItemYun Yang , bio
Assistant professor Yang conducts research in ergodic theory and dynamical systems.
Researchers in Dynamical Systems and Ergodic Theory

Bio ItemLeah LeJeune , bio
Dr. LeJeune's research focuses on modeling the spread and control of infectious disease through analysis of mathematical models, particularly deterministic dynamical systems.

Bio ItemSamantha Brooker , bio
I am a Postdoctoral Associate studying operator algebras and noncommutative geometry.

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