Discrete Choice Analysis Short Course at EPFL

Course Overview

I recently had the opportunity to attend the short course “Discrete Choice Analysis: Predicting Individual Behavior and Market Demand” at École Polytechnique Fédérale de Lausanne, Switzerland (January 25–29, 2026), organized by the Transport and Mobility Laboratory (TRANSP-OR).

It was a rigorous and highly applied deep dive into:

• Random utility models
• Nested and mixed logit
• Hybrid choice models
• Bayesian estimation
• Microsimulation
• Forecasting techniques

Key Highlights

The integration of theory, case studies, and hands-on work with BIOGEME made the experience particularly valuable. The course provided a comprehensive foundation in behavioral modeling and demand forecasting that is directly applicable to transportation systems research.

Acknowledgments

My sincere thanks to Prof. Moshe Ben-Akiva (MIT) and Prof. Michel Bierlaire (EPFL) for delivering a week of intellectually dense and methodologically precise training. I also thank my supervisor, Prof. Constantinos Antoniou, for making this opportunity possible.

Looking Forward

I’m excited to apply these advanced discrete choice modeling tools to:

• Behavioral modeling in transportation
• Demand forecasting
• Transport systems research
• Policy evaluation and scenario analysis

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