My teaching emphasizes applied learning and real-world financial decision-making. I integrate data-driven exercises, simulations, and case-based discussions to help students develop an intuitive and practical understanding of financial concepts. My goal is to connect theory to real-world settings and encourage students to think critically about financial systems and markets. 

FIN 3312 – Principles of Finance

Introduces core concepts in corporate finance and investment decision-making, including time value of money, risk and return, and valuation.

FIN 4331 – International Finance

Focuses on exchange rates, currency markets, and global financial systems. The course emphasizes real-world applications such as currency risk management, purchasing power parity, and international investment decisions.

FIN 5352 – Corporate Finance (Graduate)

Covers advanced topics in corporate finance, including firm valuation, capital structure, and investment decisions, with an emphasis on analytical tools and real-world applications.

Independent Study (Graduate)

Supervised student-led research project using real-world financial data, focusing on empirical analysis and applied financial decision-making, culminating in formal presentations.

I design course activities that simulate real-world financial decision-making, including interactive exercises and applied problem-solving. These approaches aim to build both technical understanding and practical intuition.

I am developing course activities that allow students to work with real-world financial problems, data, and institutional settings. In International Finance, this includes helping students analyze how firms and organizations are exposed to exchange rates, global supply chains, international capital flows, and country-level risk.

I am also interested in bringing practitioners into the classroom through guest discussions, project feedback, poster sessions, and applied case examples. These partnerships help students see how finance concepts are used outside the classroom and give community and industry partners a way to shape student learning around real problems.

Potential partner-engaged activities include firm-level currency risk projects, financial decision-making cases, community finance applications, AI-supported data analysis exercises, and student presentations evaluated by faculty and practitioners.