I’m Yuzhan Zhang, a mathematics and applied mathematics graduate based in Beijing, and I focus on theory-driven scientific computing and nonlinear dynamics. My research centers on dynamical systems, stability and bifurcation analysis, and building reliable numerical simulation workflows that turn complex models into reproducible computational results.
I also enjoy the engineering side of research—automating high-throughput simulation pipelines and combining physics-informed ideas with probabilistic generation methods. Through work on MATLAB-CST automation and a physics-constrained Monte Carlo approach for simulation-compatible binary topology patterns, I’ve gained hands-on experience that bridges applied mathematics, interdisciplinary materials/EM simulation, and intelligent-system interests like robotics and human-machine systems.
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