Teaching
Graduate courses in AI, machine learning, and Bayesian data analysis, plus workshops and outreach.
Jesper teaches at the intersection of statistics, business analytics, and artificial intelligence. He is programme coordinator for the MSc in Business Intelligence at Aarhus University and teaches graduate courses in generative AI, deep learning, machine learning, and Bayesian data analysis. His teaching has been recognized with the Aarhus BSS Lecturer of the Year award and consistently high student evaluations.

Graduate courses
- Generative AI with LLMs — MSc in Business Intelligence & MSc in Data Science
- Machine Learning for Business Intelligence — MSc in Business Intelligence
- Bayesian Data Analysis using R and Stan — MSc in Business Intelligence & MSc in Data Science
- AI for Business Intelligence — MSc in Business Intelligence & MSc in Data Science
- Data Mining for Business Decisions — MSc in Business Intelligence
- Internationalisation of the Firm — MSc in International Business and Finance
- Business Data Collection and Handling — BSc in Business Administration
Recognition

- 2024 Best Lecturer in Economics and Business Administration (“Den Gyldne Fugl”) — finalist
- 2018 Lecturer of the Year, Aarhus BSS — winner
- 2015 Best Lecturer in Economics (“Den Gyldne Pegepind”) — finalist
Workshops & short courses
- 2026 Advanced Regression II: Binary Outcomes — Interactions, Endogeneity, and Panel Data — CARMA live short course
- 2025 Testing the Impossible? Advanced Sensitivity Analysis for Management Research — Academy of Management (co-organizer)
- 2025 AI and the Future of Organizational Research — CARMA New Doctoral Student Workshop (panelist)
- 2021 Fractional Regression Models — Academy of International Business (organizer and presenter)
Outreach
Jesper produces teaching materials that bring statistical thinking to a broader audience. His video series on k-means clustering for high-school students introduces segmentation through worked examples (in Danish).
