Meng Wang is an assistant professor in the Kate Tiedemann School of Business and Finance at the USF Muma College of Business. His primary research interests lie in FinTech and investment, with a focus on AI and finance, machine learning, big data analysis, mutual funds, and hedge funds. Specifically, his research aims to leverage economics and AI methodologies to enhance investor understanding of the financial market. He earned a PhD in finance from Georgia State University (2024). He holds a master’s degree in mathematics and statistics from Georgetown University (2018) and a bachelor’s degree in finance from George Mason University (2016).