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.

Yuzhan Zhang

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.

Available to hire

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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Experience Level

Intermediate
Intermediate
Intermediate
Beginner
Beginner
Beginner

Language

Chinese
Fluent
English
Intermediate
Japanese
Intermediate

Work Experience

Independent Researcher (Self-directed research)
January 1, 2026 - Present
Self-directed applied-math and computational research, including manuscript preparation across computational modeling and interdisciplinary scientific topics. Continued work in scientific computing and theory-driven research with an active interest in robotics and intelligent systems.

Education

B.S. in Mathematics and Applied Mathematics at Beijing University of Technology
January 11, 2030 - January 1, 2026

Qualifications

National Natural Science Foundation of China (Grant 12272011) participant
January 11, 2030 - September 6, 2026
National Key R&D Program of China (2022YFB3806000) participant
January 1, 2022 - September 6, 2026
CET-4 (English proficiency)
January 11, 2030 - September 6, 2026

Industry Experience

Education, Professional Services, Computers & Electronics, Energy & Utilities, Software & Internet, Manufacturing, Other