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Stefan Feuerriegel is the Head of the Institute of AI in Management at LMU.
His team consistently publishes work on causal machine learning at top AI conferences, including NeurIPS, ICML, and more.
At the same time, they help businesses implement causal methods in practice.
They worked on projects with companies like ABB Hitachi, and Booking.com.
Stefan believes his team thrives because of its diversity and aims to bring more causal machine learning to medicine.
I had a great conversation with him, and I hope you'll enjoy it too!
>> Guest info:
Stefan Feuerriegel is a professor and the Head of the Institute of AI in Management at LMU. Previously, he worked as a consultant at McKinsey & Co. and ran his own AI startup.
>> Episode Links:
Papers
- Feuerriegel, S. et al. (2024) - Causal machine learning for predicting treatment outcomes (https://www.nature.com/articles/s41591-024-02902-1)
- Kuzmanivic, M. et al. (2024) - Causal Machine Learning for Cost-Effective Allocation of Development Aid (https://arxiv.org/abs/2401.16986)
- Schröder, M. et al. (2024) - Conformal Prediction for Causal Effects of Continuous Treatments (https://arxiv.org/abs/2407.03094)
>> WWW: https://www.som.lmu.de/ai/
>> LinkedIn: https://www.linkedin.com/in/stefan-feuerriegel/
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Causal AI || Causal Machine Learning || Causal Inference & Discovery
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