Summary
Hao Ni is a Professor of Mathematics at University College London with eight years of post-PhD academic experience and a strong interdisciplinary focus on stochastic analysis, financial mathematics, and machine learning. He develops non-parametric models for complex multi-modal data streams using rough paths theory and signature methods, bridging deep theoretical work with practical applications in finance, computer vision, and human-computer interaction. His background includes postdoctoral roles at Oxford and Brown and a faculty fellowship at The Alan Turing Institute, reflecting a track record of translating advanced mathematics into implemented Python and Matlab tools for time-series and sequential-data problems. Known for applying signature-based features to real financial datasets, he combines rigorous measure-theoretic foundations with hands-on modeling that informs both research and applied systems.
8 years of coding experience
7 years of employment as a software developer
PhD, Mathematics, PhD, Mathematics at University of Oxford
Exchange Student, Finance, Ranked 1st in a class of 14, Exchange Student, Finance, Ranked 1st in a class of 14 at Ulm University
BSc, Applied Mathematics, BSc, Applied Mathematics at Southeast University
Chinese, English