08.09.2025

Tiny logo
Teaser image to Niki Kilbertus Receives Prestigious ERC Starting Grant

Niki Kilbertus Receives Prestigious ERC Starting Grant

Award Supports Project “DYNAMICAUS” on Causal Modeling in Complex Systems

MCML PI Niki Kilbertus has been awarded a prestigious ERC Starting Grant by the European Research Council.

The grant supports his project DYNAMICAUS, which combines machine learning, causal inference, and mechanistic modeling to study interventions in complex systems. By advancing methods that capture cause–effect relationships, the project opens new opportunities for understanding scientific processes and decision-making in real-world contexts.

ERC Starting Grants are among the most competitive European funding instruments, supporting excellent early-career researchers in building independent teams and groundbreaking projects.

#award #research #kilbertus
Subscribe to RSS News feed

Related

Link to

17.10.2025

MCML at ICCV 2025: 19 Accepted Papers (16 Main, and 3 Workshops)

IEEE/CVF International Conference on Computer Vision (ICCV 2025). Honolulu, Hawaii, 19.10.2025 - 23.10.2025

Link to SIC: Making AI Image Classification Understandable

16.10.2025

SIC: Making AI Image Classification Understandable

SIC by the team of Christian Wachinger at ICCV 2025: Transparent AI for intuitive, reliable, and interpretable medical image classification.

Link to Rethinking AI in Public Institutions - Balancing Prediction and Capacity

09.10.2025

Rethinking AI in Public Institutions - Balancing Prediction and Capacity

Unai Fischer Abaigar explores how AI can make public decisions fairer, smarter, and more effective.

Link to MCML-LAMARR Workshop at University of Bonn

08.10.2025

MCML-LAMARR Workshop at University of Bonn

MCML and Lamarr researchers met in Bonn to exchange ideas on NLP, LLM finetuning, and AI ethics.

Link to Three MCML Members Win Best Paper Award at AutoML 2025

08.10.2025

Three MCML Members Win Best Paper Award at AutoML 2025

Former MCML TBF Matthias Feurer and Director Bernd Bischl’s paper on overtuning won Best Paper at AutoML 2025, offering insights for robust HPO.

Back to Top