Introduction

Junhuan Zhang is an Associate Professor of Finance, and Director of Master of Science in Finance Program at the School of Economics and Management at Beihang University. Zhang received a bachelor's degree in Information & Computing Science and a master’s degree in Probability Theory & Mathematical Statistics from Beijing Jiaotong University in 2008 and 2011, and a PhD in Computer Science (Computational Finance) from King's College London in 2015, respectively.

He was a visiting scholar at University of Chicago Booth School of Business, Vanderbilt University, George Mason University, and a postdoctoral research associate of Artificial Intelligence at the University of Georgia.

His research interests focus on applications of AI and Blockchain in Finance, especially for Computational & Behavioral Finance, Market Microstructure, Machine Learning, Cryptocurrencies, and Blockchain Finance. His research has been published in finance and economics journals including European Journal of Finance, Quantitative Finance, IEEE Transactions on Engineering Management, Journal of Economic Behavior & Organization, Review of Quantitative Finance and Accounting.

Dr Zhang has served as an associate editor of International Review of Economics & Finance, Cogent Economics & Finance, an academic editor of PLOS ONE, and Youth Editorial Board Member of Blockchain. He was PI for several grants from National Natural Science Foundation of China and National Key Research and Development Program of China.

Research areas:

Dr. Zhang's research interests focus on how interacting autonomous agents make financial decisions in real-world complex economic systems by cooperative or non-cooperative mutiagent learning and adaptation, and how agents' behaviors influence the performance of the overall economic systems. They are interdisciplinary topics in Finance and Economics, especially in relation to the applications of Artificial Intelligence and Blockchain in Finance and Economics.

• Computational & Behavioral Finance (Automated Trading, High Frequency Trading, Quantitative Trading, Market Design, Market Microstructure, Risk & Regulation)

• FinTech (Robo-advisor, RegTech)

• Blockchain Finance (Cryptocurrencies, Smart Contracts, Digital Asset Pricing & Trading)

• Artificial Intelligence (Multi-Agent Systems, Agent-Based Modeling, Machine Learning, Data Science, Knowledge Graph)

Potential areas for future cooperation：

(1)High Frequency Trading

(2)Algorithmic Trading

(3)Market Microstructure of Stock / Cryptocurrency Market

(4)Stock / Cryptocurrency Market manipulation

(5)Data pricing and trading market design

(6)Blockchain Finance

(7)Regulation Technology in financial markets

Contact:

junhuan_zhang@buaa.edu.cn

junhuan.zhang@gmail.com

Personal Website: https://sites.google.com/site/junhuanzhang