Summary
Congye Wang is a final-year PhD candidate in Mathematics at Newcastle University with eight years of applied quantitative experience spanning academia, government statistics, and financial institutions. He blends rigorous mathematical modeling and statistical training (MSc Statistics, dual Bachelor's in Accounting and Statistics) with practical data work—ranging from census quality sampling and demographic aging models to credit risk modelling and KPI design in corporate settings. At The Alan Turing Institute he contributed to a Net-Zero energy asset repurposing optimization challenge, demonstrating an ability to translate mathematical research into policy-relevant, cost-optimization solutions. His background in both accounting and advanced statistics gives him a rare cross-disciplinary perspective for building models that are both technically sound and operationally actionable. Colleagues describe him as a methodical problem-solver who thrives at the intersection of theory and real-world decision support.
8 years of coding experience
Bachelor's degree, Accounting, Bachelor's degree, Accounting at Northeast Agricultural University
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Newcastle University
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Lancaster University