Qixing Liang

2+2 joint dual-degree programme · BSc Mathematics. Current average: 81.00/100 (credit-weighted average of completed modules). Coursework includes: Algebra and Combinatorics 2, Real and Complex Analysis, Multivariable and Vector Analysis, Mathematics in Industry, Numerical Methods and Programming, Differential Equations, Linear Algebra and Linear Programming, Combinatorics and Communication Theory, Research Skills in Mathematics, Methods in Partial Differential Equations, Functional and Fourier Analysis, Randomness and Computation, Numerical Methods and Numerical Linear Algebra.

GPA 4.06/5 (90.6/100); Second-Class Professional Scholarships in 2023–2024 and 2024–2025. Coursework includes Python and Data Analysis, Statistics and Mathematical Statistics.

Internship in service manager and relationship manager roles.

Integrated mortality, monthly pensions, expenses and discount factors using Python, NumPy and Pandas into a 50-year (600-month) cash-flow model. Generated survival paths with 1,000 Monte Carlo simulations, modelled member, spouse and dependant payment rules, and summarised pension and expense present values using means, standard deviations and quantiles, with Excel exports for validation and analysis.

Independent, AI-assisted modelling research into Orange’s routing challenge, exploring time-varying demand, link maintenance, ECMP flow splitting and reconfiguration budgets.

Created Python and Manim animations and educational video scripts explaining modular arithmetic and cryptographic concepts.

Modelled dynamic visibility for a missile–UAV smoke-screen problem using Python, differential evolution, grid search and time-series discretisation.

Led the team, designed questionnaires and expert interviews, built statistical models and wrote analytical sections using SOR–SEM, clustering and logistic regression.

Clustered pick-up and drop-off locations in Python, developed a genetic-algorithm dispatch-routing model and co-authored the technical paper.