Publications

• A Falsificationist Account of Artificial Neural Networks (with Eric Raidl), forthcoming at The British Journal for the Philosophy of Science.
  [preprint] [journal]
  
  
• A Means-End Account of Explainable Artificial Intelligence, Synthese, 2023.
  [preprint] [journal]
  
  
• The Deep Neural Network Approach to the Reference Class Problem, Synthese, 2023.
  [preprint] [journal]
  
  
• Predicting and Explaining with Machine Learning Models: Social Science as a Touchstone (with Thomas Grote), Studies in History and Philosophy of Science, 2023.
  [journal]
  
  
• Analyzing the Relationship between Physicians' Experience and Surgery Duration (with Christopher Haager, Katja Schimmelpfeng, Jan Schoenfelder, and Jens Brunner), Operations Research for Health Care, 2023.
  [journal]
  
  

Work in progress

• Machine Learning in Public Health and the Prediction-Intervention Gap (with Thomas Grote), forthcoming in Durán, J. and Pozzi, G. (eds.): Philosophy of Science for Machine Learning: Core Issues and New Perspectives. Cham: Synthese Library (invited).
  [preprint]
  
  
• The Curve-Fitting Problem Revisited, in preparation.
  
  
• XAI: On Explainability and the Obligation to Explain (with Karoline Reinhardt), in preparation.
  
  

Theses

• Artificial Neural Networks and the Reference Class Problem (2020) [thesis]
  Thesis for the degree M. A. in Philosophy
  
  
• Uncertainty and the Business Cycle (2020) [thesis]
  Thesis for the degree M. Sc. in Economics and Finance
  
  
• Forecasting Emergency Patient Arrival Counts (2015) [thesis]
  Thesis for the degree B. Sc. in Economics and Business Administration