Stefan Feuerriegel
Scholar

Stefan Feuerriegel

Google Scholar ID: TtgGRnEAAAAJ
Professor, LMU Munich
AI in ManagementBusiness AnalyticsComputational Social ScienceAI for GoodCausal ML
Citations & Impact
All-time
Citations
10,698
 
H-index
45
 
i10-index
160
 
Publications
20
 
Co-authors
192
list available
Resume (English only)
Academic Achievements
  • 6 papers accepted at NeurIPS 2025; one paper on 'A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments' accepted at KDD 2025; one paper on 'Learning Representations of Instruments for Partial Identification of Treatment Effects' accepted at ICML 2025; one paper accepted at WWW 2025.
Research Experience
  • Currently a professor at the Institute of Artificial Intelligence (AI) in Management, LMU Munich; also affiliated with the Department of Mathematics, Informatics, and Statistics.
Education
  • Insufficient information
Background
  • Research Interests: Application of AI in management, data science, developing new AI algorithms. Brief Introduction: Aiming to solve relevant management problems by using data science, developing new AI algorithms, and evaluating the added value of these tools in management practice.
Miscellany
  • Organizes an AI Keynote Series, featuring monthly online talks with high-profile guest speakers about their research work in the field of AI; actively collaborates with companies to generate AI impact in practice; welcomes students from mathematics, informatics, and statistics to apply for a Master's thesis or PhD position.