NextGen FinTech Scholars: Data Science, AI & Digital Finance

Hybrid (primarily virtual, with optional in-person sessions at George Mason University Fairfax Campus)

Friday, June 26 – Friday, Sept 11, 2026 (12 weeks total)

Phrase 1: Research & Learning (Week 1-7 on Fridays: June 26th – August 7th, 12:00–2:00 PM EST. / 9:00 AM–11:00 PM PST.) 

Synchronous + Asynchronous Sessions; Details please see the Schedule of the Program below. 

Phase 2 (Hybrid): Conference Day and Student Presentation (Week 8: Saturday, August 15th; 9:00 am – 2:00 pm EST.) 

Presentation: Students will have an opportunity to present their research papers and display their posters. Participation is optional. We also offer a hybrid format for students who may want to join in person or virtually. A faculty team from the university and the industrial research field will review student presentations, recognize outstanding research, and award scholarships to top-performing teams.

Industry Experience: Students will connect with professionals working at the forefront of FinTech and data science through site visits and informational sessions. These experiences are designed to give students a closer look at how tools like AI, blockchain, and financial analytics are shaping the future of finance. (*The site-visit may take place on Friday, August 14th, depending on partner's availability.)

Guest Speaker / Lab Visit:
Students will visit George Mason University and engage with leading faculty and guest speakers in advanced labs focused on AI, financial analytics, and cybersecurity. The experience will highlight innovations in blockchain, cryptocurrency, and AI-powered financial systems, offering students a firsthand look at the future of finance.

Awards & Recognition: Scholarships and awards of up to $2,000 will be granted for outstanding research performance.

Phase 3: Final Paper Refinement (Weeks 9-12)

• A dedicated four-week period to refine and finalize research papers.
• This additional time allows students to strengthen their work, ensuring a well-developed, high-quality final paper.
• Final Research Paper Submission Deadline: Friday, September 11, 2026.

This interactive Young Scholars Research Program introduces high school students to the rapidly evolving world of Financial Technology (FinTech), integrating Artificial Intelligence (AI), machine learning, and data analytics. Students will explore how tools such as AI platforms (including Claude and ChatGPT codex), Python, SAS, R, and Stata are used to analyze financial markets, interpret financial datasets such as CRSP, Compustat, and other datasets from SEC Edgar, Wharton Research Data services, Bloomberg, etc., and support real-world decision-making.

Through hands-on activities, real-world case studies, and a collaborative research project, students will gain foundational knowledge in economics, statistics, and digital finance, including emerging areas such as cryptocurrency, Bitcoin, and stablecoins. Students will also learn how to interpret corporate financial statements and annual reports, bridging the gap between data analysis and business strategy. 

• AI in Finance: Applications of AI tools (e.g., Claude) in financial analysis and forecasting
• Programming for Finance: Introduction to Python, R, and Stata for financial data analysis
• Economics & Statistics: Understanding markets, risk, and data-driven decision-making
• Financial Data Platforms: Exposure to professional and regulatory datasets and platforms
• Corporate Finance Analysis: Reading and interpreting annual reports and financial statements
• Digital Finance & Crypto: Bitcoin, stablecoins, and blockchain fundamentals
• Case-Based Learning: Real-world financial case studies and industry applications

Students will complete a team-based research project and work on a scholarly paper. The final paper will be published on the Schar School Young Scholars Journals Webpage as well as the George Mason University (GMU) Library MARS Repository. 

Each winning team member from the conference will receive a $500 scholarship, which can be applied to any Young Scholars internship program at the Schar School during the academic years 2025 and 2026.

Our Course Director, Dr. Lei Gao will lead students to work on the research projects, including but not limited to:

• Overview of FinTech and financial ecosystems: Definition, history, and evolution.
  • Fun introduction to FinTech: Definition and examples (e.g., mobile payments, online banking).
  • Group discussion: How do we use technology in our own financial lives?
• Introduction to economics and statistics in financial decision-making; Key players in the FinTech landscape.
• Applied Activity: Hands-on trading simulation using a mock account to practice buying and selling stocks

• Global trends in FinTech, AI, and digital finance
• The role of AI in automating compliance processes; Current regulations affecting FinTech and AI applications.
• Students begin group research projects using:
  • Financial datasets
  • Corporate reports
  • Economic analysis

• Introduction to AI and machine learning in finance
  • Simple explanations of AI and ML with everyday examples (e.g., Netflix recommendations).
  • Fun quiz: Identify AI in our daily lives.
• Using Claude and AI tools for financial insights and research
• Applied Activity: Explore AI-driven financial recommendations; Create a simple budget using online tools.

• Introduction to Python, R, Stata, and basic AI/ML concepts for analyzing financial datasets
• Understanding and interpreting corporate financial statements (10-K, annual reports) and key metrics (revenue, cost, growth).
• Applied activity: Analyze a company using data visualization and simple models to evaluate financial performance.

Dr. Lei Gao is an associate professor of finance at George Mason University, where he teaches courses on corporate finance, investments, and empirical methods in finance. Gao has taught at Iowa State University, University of Memphis, University of Georgia, and Michigan State University. Gao is an active member of the American Finance Association and Financial Management Association. His research interests include market structure, investments, lending, corporate finance, and FinTech. His research has been published in top journals such as the Proceedings of the National Academy of Sciences of USA (PNAS), Journal of Financial Economics (JFE), and Journal of Financial and Quantitative Analysis (JFQA) among others. Gao's research has been featured in national news media, including ABC, Bloomberg, CNN, Financial Times, Fortune, NBC, Washington Post, and academic press, including ASSA, etc. His publication at PNAS about COVID-19 is one of the outputs of his COVID-19 project, which the CDC has adopted to forecast the mortality of COVID-19 in the U.S. and fight the pandemic. His publication at PNAS about Fair Lending is ranked by the Financial Times as #15 in its "Top 100 Business School Research with Social Impact" globally. Gao has given a speech at the Department of Housing and Urban Development (HUD) about fair lending. He has also been invited to be an expert witness before the U.S. Congress and his research has been the base for the testimony. His publication at JFE about "Market Intraday Momentum" is one of the most downloaded papers at SSRN in concurrent research. His research about short-selling regulation at JCF has been featured in the Cato Institute Research Brief. Gao has been a Financial Economist at the Securities and Exchange Commission (SEC), where he provides economics analysis and memos to support the Commission's enforcement and regulation, protecting investors; maintaining fair, orderly, and efficient markets; facilitating capital formation. Gao earned a Ph.D. in Finance from the University of Georgia, an M.S. in Industrial Math from Michigan State University, and a B.S. in Computer Science from Peking University.

Gao has served as a reviewer for the NSF CAREER Award and top academic journals, including American Economic Review: Insights, Management Science, Review of Finance, The Accounting Review, Journal of Corporate Finance, Journal of Banking and Finance, and Journal of Business Ethics, etc. Gao has delivered many presentations and talks at academic conferences, University seminars, Governments, and research institutions.