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Tiejun Ma’s research focuses on risk analysis and decision-making using quantitative modelling and real-time big data analysis techniques, specifically in the context of financial market forecasting. He employs applied data science and mathematical modelling methodologies to analyze and forecast risks, utilizing an inter-disciplinary research strategy that incorporates state-of-the-art computing and data analytics as well as behavioural analysis techniques. Dr. Ma is a selected member of the EPSRC’s New Economy Model Network and has served as a reviewer for EPSRC/ESRC proposals. With extensive experience in large-scale data analysis and risk modelling, he addresses real-time decision-making challenges in the finance computing domain. He has published in leading international journals including the European Journal of Operations Research, International Journal of Forecasting, and IEEE Transactions on Dependable and Secure Computing. Dr. Ma has successfully secured over £4 million in research grants across 30 projects as Principal Investigator or Co-Investigator from various research councils such as EPSRC, ESRC, and industry partners.