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Matthew Dixon
Assistant Professor at Department of Applied Mathematics & Stuart School of Business - Illinois Institute of Technology


Matthew Dixon is an Assistant Professor of Applied Math at the Illinois Institute of Technology. His research in machine learning and computational finance is funded by Intel. Matthew began his career in structured credit trading at Lehman Brothers in London before pursuing academics and consulting for financial institutions in quantitative trading and risk modeling. He holds a Ph.D. in Applied Mathematics from Imperial College (2007) and has held postdoctoral and visiting professor appointments at Stanford University and UC Davis respectively. He has published over 20 peer reviewed academic publications on machine learning and financial modeling, has been cited in Bloomberg Markets and the Financial Times as an AI in fintech expert, and is a frequently invited speaker on Wall Street. He is the deputy editor of the Journal of Machine Learning in Finance and an associate editor for the AIMS Journal of Dynamic and Games. His new text book on machine learning in finance, with Halperin and Bilokon, is set to be published by Springer in Q1, 2020.

Matthew Dixon's Network

Agenda Sessions

  • Machine Learning in practice