معرفی
Ryan Goh is an Assistant Professor in the Department of Mathematics and Statistics at Boston University, affiliated with the Applied Mathematics and Dynamical Systems research groups. He holds a PhD from the University of Minnesota and an undergraduate degree from Michigan State University. His research focuses on nonlinear dynamics of coherent structures and patterns in nature, particularly using techniques from dynamical systems and functional analysis. Current interests include pattern formation in reaction-diffusion systems, fluid dynamics, and the application of numerical methods to study bifurcations and stability.
Education:
- PhD in Mathematics, University of Minnesota
- Undergraduate Degree in Mathematics, Michigan State University
Research Interests:
- Dynamical Systems
- Pattern Formation
- Partial Differential Equations
- Fluid Dynamics
- Nonlinear Waves
Recent Research Highlights: His work explores how growth processes, inhomogeneities, and parameter ramps influence pattern formation. Notable contributions include studies on delayed Hopf bifurcations in reaction-diffusion systems and spectral stability of fronts in the complex Ginzburg-Landau equation. He actively collaborates on interdisciplinary projects in areas like chemotaxis and embryonic gastrulation.
Teaching: Currently instructing MA 226 in Spring 2025. Past courses include advanced differential equations and mathematical modeling. Provides guidelines for letters of recommendation emphasizing specialization relevance.
Grants & REUs: Organized NSF-funded REUs (e.g., 2024/2026) focusing on pattern dynamics under spatio-temporal heterogeneity. Collaborates on conferences like the SIAM Conference on Dynamical Systems (2025) and the Gene Golub Summer School on Multidimensional Pattern Formation.
