Applied Mathematics | Quantitative Research | Scientific Computing

I am an applied mathematics graduate from the University of Sydney, with research spanning stochastic dynamics, nonlinear systems, numerical optimization, and computational modeling. My work connects mathematical analysis with computational methods, from stochastic excitable systems and equilibrium networks to quantitative finance and biomedical modeling.

Links: ORCID | LinkedIn | Email

Single-author research article published in Chaos: An Interdisciplinary Journal of Nonlinear Science, 36(10), 103119 (October 2026).

This study examines how multiplicative Feller noise shapes coherence resonance in deeply quiescent excitable systems. It identifies the breakdown of adiabatic Kramers scaling and investigates noise-induced functional synchronization.

Publication: Chaos (AIP Publishing) | Preprint: arXiv:2605.06692

Co-first-author work on splitting algorithms for cascaded monotone equilibrium systems, accepted for an oral presentation at the International Symposium on Mathematical Theory of Networks and Systems (MTNS 2026) at the University of Waterloo, Canada.

Research materials: Numerical solver | Research poster

• Liver Dynamics Analysis — computational modeling of liver disease progression developed through a University of Sydney research project using confidential longitudinal clinical data. Implements continuous-time Markov models, matrix-exponential transition operators, likelihood-based parameter estimation, and time-varying ODE solvers.
• Portfolio Optimization Toolkit — constrained mean-variance optimization, covariance-matrix stabilization, stress testing, and risk-profile analysis.

• Quantitative Trading Intern — XY Investments, Shanghai
  May 2026 – August 2026
  Contributed to quantitative research and data analysis workflows, using Python to support analysis and automation.

• Bachelor of Science, University of Sydney, 2026
  • Double major in Mathematics and Financial Mathematics & Statistics
  • Minor in Computer Science
• Denison Research Scholarship, University of Sydney
• Engineering Vacation Research Internship Scholarship, University of Sydney

• Mathematical Methods: stochastic modeling, dynamical systems, numerical analysis, optimization, and quantitative finance
• Scientific Computing: Python (PyTorch, NumPy, SciPy, Pandas, JAX, Numba), R, and MATLAB
• Data & Engineering: SQL, Git, Linux, Streamlit, REST APIs, and GitLab CI
• Research Tools: LaTeX and XPPAUT

• Mandarin: Native
• English: Professional working proficiency (C1)
• German: Intermediate (B1)

I enjoy shoegaze, post-rock, space rock, and psychedelic rock, and I play electric guitar and collect physical music releases. I also travel independently, particularly through remote regions and long-distance overland routes.

Other interests include Go (Weiqi), traditional Chinese poetry, and Daoist philosophy.