Teaching, Pedagogy, and Classroom Tools

My teaching is centered on helping students use economic models, data, and institutional knowledge to make better business and financial decisions. I teach economics as a practical framework for understanding markets, firms, financial institutions, and emerging technologies. In the classroom, I combine case-based discussion, data-driven assignments, and interactive simulations to help students connect theory to real-world problems in finance, FinTech, digital assets, and market regulation.

Teaching Interests

My teaching interests are in financial markets, monetary economics, managerial economics, business analytics, applied econometrics, FinTech, blockchain economics, and digital asset markets. I am especially interested in developing courses and classroom tools that prepare students to analyze financial innovation, platform markets, crypto-market infrastructure, and the regulatory challenges created by new financial technologies.

Financial economics Asset pricing Market microstructure Financial markets and institutions Banking and financial intermediation Financial econometrics FinTech Digital currencies and DeFi

Courses Taught

  • ECON 114 — Introduction to Macroeconomics University of Saskatchewan / St. Thomas More College
  • ECON 211 — Intermediate Microeconomic Theory University of Saskatchewan / St. Thomas More College
  • ECON 311 — Money, Banking, and Financial Markets University of Saskatchewan / St. Thomas More College

Teaching Approach

Case-Based Learning

I begin from real business and financial events, such as banking stress, inflation, crypto exchange failures, stablecoin depegging, payment systems, and platform competition. Students first reason through the problem intuitively, then use economic models to organize the key tradeoffs.

Experiential Simulations

I use classroom games and simulations to teach market mechanisms, incentives, strategic behavior, and financial infrastructure. These exercises allow students to participate in economic systems rather than only reading about them.

Data-Driven Decision-Making

I design assignments that ask students to visualize, interpret, and analyze real datasets. This helps students convert data into business and policy insight, while developing the analytical habits needed in data-intensive financial markets.

FinTech and Blockchain Teaching Lab

Bitcoin Mining Game and Blockchain Protocol Simulation

I developed a classroom game to teach students how blockchain protocols work. In the simulation, students act as miners in a blockchain network, compete to find valid blocks, validate transactions, and learn how consensus emerges in a decentralized system.

The tool is designed to help students understand Bitcoin mining, minting new coins, transaction validation, mining difficulty, forks, consensus protocols, and the double-spending problem through active participation. For business-school audiences, the simulation also connects protocol design to financial infrastructure, platform incentives, market design, and the economics of digital assets.

FinTech Bitcoin mining Transaction validation Consensus Forks Digital asset markets Financial infrastructure

Teaching Assistant Experience

  • Graduate-level economics courses Microeconomic theory, macroeconomic theory, and econometrics.
  • Undergraduate economics courses Introductory macroeconomics, intermediate microeconomics, intermediate macroeconomics, and upper-year economics courses.