Teaching
Current Teaching at my University
Financial Econometrics
Master Level | English & French
Advanced topics in financial econometrics including volatility modeling, univariate and multivariate GARCH models, and applications to financial markets.
Time Series Econometrics
Master Level | English & French
Comprehensive coverage of time series analysis, including ARMA/ARIMA models, unit root tests, cointegration, and vector autoregression.
Probability and Statistics
Undergraduate | English & French
Foundations of probability theory, statistical inference, and hypothesis testing.
Python
Master Level | French
Introduction to Python for econometrics.
Cryptocurrency and Fintech
Master Level | French
Their instruments, their microstructure, their regulatory framework, and their distinctive statistical properties.
Past Teaching
Microeconomics 1
Undergraduate Level | French
Core microeconomic theory covering consumer behavior, firm theory, and market structures.
Econometrics
Master Level | English & French
Introduction to econometric methods, linear regression, instrumental variables, and panel data analysis.
Neural Networks
Master Level | English
Application done with to artificial neural networks.
Economic Analysis
Undergraduate Level | French
Fundamental principles of economic analysis, including microeconomic and macroeconomic theory.
Financial Mathematics
Undergraduate Level | French
Mathematical foundations for finance, including portfolio theory, option pricing, and risk management.
Descriptive Statistics I and II
Undergraduate Level | French
Introduction to statistical methods for data description and analysis.
Analysis I
Undergraduate Level | French
Mathematical analysis including limits, continuity, derivatives, and integrals.
Teaching Philosophy
I emphasize the practical application of econometric and statistical methods to real-world economic and financial data. My courses combine theoretical foundations with hands-on computational exercises using software tools.
I encourage students to develop critical thinking skills and to understand not just how to apply methods, but when and why they are appropriate. Special attention is given to recent developments in the field, including machine learning applications in economics and finance.