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WuYefan77/README.md

Hi, I'm Yefan Wu

Applied Mathematics | Quantitative Research | Scientific Computing

I am a 2026 University of Sydney graduate working across stochastic modeling, nonlinear dynamics, numerical methods, and quantitative finance. I am especially interested in turning mathematical ideas into reproducible computational research.

Research

Breakdown of Adiabatic Scaling and Noise-Induced Functional Synchronization in Deeply Quiescent Excitable Systems

Single-author preprint; revised manuscript submitted to Chaos: An Interdisciplinary Journal of Nonlinear Science (August 2026).

This work studies coherence resonance, multiplicative noise, and noise-induced functional synchronization in deeply quiescent excitable systems.

Read the preprint on arXiv

Cascaded Monotone Equilibrium Networks

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.

Explore the numerical solver

Quantitative & Computational Projects

  • Portfolio Optimization Toolkit — constrained mean-variance optimization, covariance-matrix stabilization, stress testing, and risk-profile analysis.
  • Liver Dynamics Analysis — matrix-exponential and RK45 methods for continuous-time compartmental systems with irregular observations.
  • MonDEQ Numerical Solver — PyTorch implementations of splitting methods for coupled monotone equilibrium systems.

Experience

  • Quantitative Trading Intern — XY Investments, Shanghai
    May 2026 – August 2026

Education & Awards

  • 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

Technical Skills

  • Mathematics: stochastic modeling, dynamical systems, nonlinear dynamics, numerical analysis, optimization, and quantitative finance
  • Programming: Python (PyTorch, NumPy, SciPy, Pandas, JAX, Numba), R, MATLAB, and SQL
  • Tools: Git, Linux, LaTeX, and XPPAUT

Languages

  • Mandarin: Native
  • English: Professional working proficiency (C1)
  • German: Intermediate (B1)
  • Swedish: Elementary (A2)

Beyond Mathematics & Computing

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.

Contact: wuyefan718@gmail.com

Popular repositories Loading

  1. WuYefan77 WuYefan77 Public

  2. MonDEQ-Numerical-Solver MonDEQ-Numerical-Solver Public

    An efficient Two-Loop Splitting solver for deep analog neural networks (MonDEQs), achieving machine-level precision.

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  3. Liver-Dynamics-Analysis Liver-Dynamics-Analysis Public

    High-precision numerical engine for metabolic liver disease dynamics, featuring adaptive RK45 solvers, exact analytical propagators, and MLE-based model selection.

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  4. Portfolio-Optimization-Toolkit Portfolio-Optimization-Toolkit Public

    Institutional-grade Python toolkit for Mean-Variance Portfolio Optimization. Features OOP design, custom institutional constraints (SLSQP), and robust covariance matrix repair (nearest-PSD via eige…

    Jupyter Notebook

  5. feller-neural-sde feller-neural-sde Public

    5D cortical pacemaker with Feller multiplicative noise - companion code for PRE manuscript

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  6. srk-model srk-model Public

    3D SRK excitable system with Feller noise - companion code for Chaos manuscript

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