GFIS 2026

Global Financial Intelligence Summit

25-27 September 2026 Ningbo, China
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Speakers

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Speakers

Prof. Xuhua Li

Prof. Xuhua Li

The director of the Institute of Finance and Artificial Intelligence at Ningbo University of Finance and Economics. He graduated from Peking University, Tsinghua University, and the California Institute of Technology in the United States, obtaining a bachelor's degree in mathematics, a master's degree, and a doctorate, respectively. He also holds an MBA from the Wharton School of the University of Pennsylvania. Dr. Li previously worked at Oracle's headquarters in Silicon Valley as a chief software engineer and later moved to Wall Street to engage in quantitative investment. He has worked at BMO, the renowned investment bank Lehman Brothers, DKR Capital Management, and Ellington Management Group, among others, developing hedge and quantitative fundamental trading models, managing proprietary trading businesses, and overseeing quantitative operations. He has served as a fund manager for several decades. In 2023, Dr. Li was selected for a national talent title by the Organization Department of the Central Committee of the Communist Party of China and the People's Bank of China and returned to China to work full-time. Dr. Li is proficient in quantitative trading strategies in finance and has a deep understanding of international asset management rules, making him a leading figure in the field of quantitative investment in China today.

Speakers

Prof. Zhaojun Yang

Prof. Zhaojun Yang

In 2000, he graduated with a doctorate from the Department of Probability Theory and Mathematical Statistics at Central South University, specializing in Mathematical Finance. In 2016, he joined Southern University of Science and Technology full-time and was selected as a long-term distinguished professor under the Pengcheng Scholars Program (Finance). Currently, he is a tenured professor in the Finance Department of the Business School at Southern University of Science and Technology.

Research fields: Financial theory, mathematical finance, financial engineering, quantitative finance, technology finance, venture capital, private equity, asset securitization, financial contract theory and application, artificial intelligence finance, etc.