Yangyang Wang

Yangyang Wang is an Assistant Professor of Mathematics at Brandeis University, affiliated with the Department of Mathematics and the Interdepartmental Program in Neuroscience. Their research focuses on dynamical systems, mathematical neuroscience, and network dynamics with applications to biological systems. Key areas include modeling neural oscillations, multiple timescale phenomena, and homeostatic mechanisms in biological networks. Education includes a PhD from the University of Pittsburgh and a BS from Beijing Normal University.

Research interests emphasize geometric singular perturbation theory, bifurcation analysis, and computational modeling of biological systems such as central pattern generators, brain rhythms, and sensory feedback control. Recent work explores how network structure influences system dynamics and the role of astrocytes in respiratory control. Dr. Wang's methodologies bridge applied mathematics and neuroscience, addressing questions in neuromechanical control, robotics applications, and developmental biology.

Publications span topics from cell cycle regulation to tick population modeling, reflecting interdisciplinary approaches. While no specific awards are listed, their work contributes to understanding complex biological systems through mathematical frameworks.

Advising and grants information is not detailed in the provided text, though their affiliations suggest involvement in collaborative neuroscience initiatives. Research also extends to robotics applications of phase response curve analysis and structural modeling of biological networks.