Supervision

I supervise projects in economics and data science. Below is a list of students for whom I served as primary supervisor.

2026

• Nicolai Brandt, Hospitalisation and Kidney Function Among Individuals with Type 2 Diabetes: Causal effects, risk prediction and health-economic implications (master’s thesis in economics)
• Meris Langic, Forecasting Bitcoin Prices: Machine Learning Approaches for a Highly Volatile Asset (master’s thesis in economics)
• Thor Laumark-Møller, Risk stratification of cardiovascular disease in diabetes patients and individualized treatment effect estimation using machine learning methods (master’s thesis in economics)
• Pernille Vind, When Normal Looks Suspicious: Unsupervised Detection of Money Mule Accounts in Retail Banking (master’s thesis in economics)
• Christopher Lange, Thinking Inside the Box (master’s thesis in data science)
• Katarína Safková, Short-Term Probabilistic Forecasting of Wind Power Production (master’s thesis in data science)
• Emil Nelander Schmidt, Long-Term Morbidity and Medication Use After Gestational Diabetes - A Nationwide Danish Registry-Wide Association Study (master’s thesis in data science)
• Emil Grønsedt Hansen & Laura Schulze-Koops, Individualised Glucose-Lowering Therapy in Type 2 Diabetes: A Causal Machine Learning Approach Using Danish Nationwide Register Data (master’s thesis in mathematics-economics)

2025

• Niels Christian Lyck Dall, Forecasting the USD/EUR Exchange Rate: A Machine Learning Approach to Fair Value Estimation (master’s thesis in economics)
• Rikke Blomgreen, Predictive Risk Model for Child Out-of-Home Care Placement in Denmark (master’s thesis in economics)
• Nikolaj Søgaard Søndergaard (now Klitmøller) & Simon Wolff Nordby, AI-Powered Strength Training: Personalized, Adaptive, and Research-Driven programs (master’s thesis in data science)
• Mia Elkjær, Prædiktive modeller i sundhedsdata (individual study activity in public health)