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
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ECON 114 — Introduction to Macroeconomics
University of Saskatchewan / St. Thomas More College
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ECON 211 — Intermediate Microeconomic Theory
University of Saskatchewan / St. Thomas More College
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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
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Graduate-level economics courses
Microeconomic theory, macroeconomic theory, and
econometrics.
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Undergraduate economics courses
Introductory macroeconomics, intermediate microeconomics,
intermediate macroeconomics, and upper-year economics
courses.