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Matthew Dixon Biography

Matthew Dixon

Matthew Dixon
Assistant Professor of Applied Mathematics
Affiliate Assistant Professor, Stuart School of Business


Ph.D. Imperial College, London, Applied Mathematics, Mathematics Department
M.Sc. University of Reading, Parallel and Scientific Computation (with distinction)
M.Eng. Imperial College, London, Civil and Environmental Engineering


Matthew Dixon is a British Applied Mathematician working in the area of algorithmic finance. His research focuses on applying concepts in computational and applied mathematics to financial modeling, especially in the area of algorithmic trading and derivatives. Matthew's research is currently funded by Intel Corporation and he develops codes for high performance architectures. His work in deep learning with Diego Klabjan (NWU) has brought wide recognition and he is a frequently invited speaker at quant and fintech events around the world in addition to be referenced as a computational finance expert in multiple reputed media outlets including the Financial Times and Bloomberg Markets.

Research Interests: 

Fast and scalable computation for financial modeling 
Predictive analysis
High-volume data analysis
Financial econometrics; risk management
Machine learning
Quantitative analytics
Algorithmic trading
Monte-Carlo simulations