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.

Congratulations to Niki!

#award #research #kilbertus

Related

Link to Teaching Language Models to Express Uncertainty

29.10.2026

Teaching Language Models to Express Uncertainty

An ICLR 2026 paper shows how reinforcement learning improves confidence estimates from language models.

Read more
Link to Runner-Up Prize at AutoML 2026 for Tabular-DC-Bench

27.10.2026

Runner-Up Prize at AutoML 2026 for Tabular-DC-Bench

Tabular-DC-Bench, by MCML Junior Member Mamdouh Aljoud and MCML Director Thomas Seidl, among others, won a runner-up prize at AutoML 2026.

Read more
Link to Welcoming Ewa Szczurek to MCML

27.10.2026

Welcoming Ewa Szczurek to MCML

Ewa Szczurek joins MCML as Professor of AI in Life Sciences at LMU, focusing on probabilistic and generative models for medicine.

Read more
Link to Best Paper Award at AIES 2026 for Work on Algorithmic Contestability

26.10.2026

Best Paper Award at AIES 2026 for Work on Algorithmic Contestability

MCML Junior Member Timo Freiesleben received the Best Paper Award at AIES 2026 for his work on algorithmic contestability.

Read more
Tiny logo
Link to MCML at EMNLP 2026

23.10.2026

MCML at EMNLP 2026

MCML researchers are represented with 47 papers at EMNLP 2026 (31 Main, 11 Findings, and 5 Workshops).

Read more
Back to Top