Bio:
Matthew Dixon is a British Applied Mathematician working in 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 (NU) has brought wide recognition and he is a frequently invited speaker at quant and fintech events around the world in addition to being referenced as a computational finance expert in multiple reputed media outlets including the Financial Times and Bloomberg Markets.
Matthew is the co-founder of the Thalesians, a quant educational company which is a member of Level39, Europe's biggest financial technology Incubator. Prior to joining academia, he has held industry appointments as a quant at banks such as Lehman Brothers, the Bank for International Settlements and Barclays Capital.