Dr. Lu Zong is currently an associate professor in the Department of Financial and Actuarial Mathematics, School of Mathematics and Physics, Xi’an Jiaotong-Liverpool University in Suzhou, China. She obtained her Ph.D. from the Department of Mathematical Sciences, University of Liverpool, in 2015. She joined Xian Jiaotong-Liverpool University in 2016 as a lecturer, and since 2019, she has been an associate professor. She successfully completed one Jiangsu Science and Technology Program. Her teaching disciplines include multivariable calculus, final year project, foundations of financial computing,
introduction to financial mathematics, financial modeling with Excel VBA, computational methods in finance I, and dissertation writing. In addition, her research interests include textual analysis for cyber risk management, network analysis for global capital flow, developing and applying deep learning algorithms in
financial risk prediction, financial contagion and risk transmission channels, and financial early earning systems.
Research Keywords & Expertise
quantitative methods
Mathematical modeling ...
Financial problems
Short Biography
Dr. Lu Zong is currently an associate professor in the Department of Financial and Actuarial Mathematics, School of Mathematics and Physics, Xi’an Jiaotong-Liverpool University in Suzhou, China. She obtained her Ph.D. from the Department of Mathematical Sciences, University of Liverpool, in 2015. She joined Xian Jiaotong-Liverpool University in 2016 as a lecturer, and since 2019, she has been an associate professor. She successfully completed one Jiangsu Science and Technology Program. Her teaching disciplines include multivariable calculus, final year project, foundations of financial computing,
introduction to financial mathematics, financial modeling with Excel VBA, computational methods in finance I, and dissertation writing. In addition, her research interests include textual analysis for cyber risk management, network analysis for global capital flow, developing and applying deep learning algorithms in
financial risk prediction, financial contagion and risk transmission channels, and financial early earning systems.