A top spot for AI and ML research in Europe

We attract the most promising researchers from all career levels to our center and transfer innovations and AI potential to industry and society.

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Principal Investigators

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Junior Members

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Publications

Who we are

MCML is one of six national AI Competence Centers. It is funded on a permanent basis by the German and Bavarian government's AI strategy, and brings together the leading ML researchers from LMU, TUM and associated institutions.

MCML @Google Scholar

Our Vision

Unite leading researchers in Germany, to strengthen international, national and regional competence in the field of ML and AI. We foster talent and make corresponding potential accessible to users from science, industry and society.

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Latest News

All News

13.11.2025

Anne-Laure Boulesteix Among the World’s Most Cited Researchers

LMU Newsroom

MCML PI Anne‑Laure Boulesteix has been named a Highly Cited Researcher 2025 by Clarivate for her influential work in the Cross-Field category. The recognition highlights publications from 2014–2024 that rank among the top 1% most cited worldwide, reflecting Anne‑Laure Boulesteix’s global impact and …

13.11.2025

Björn Ommer Featured in Frankfurter Rundschau

Google’s AI Search Mode Challenges Content Visibility and Online Publishing

MCML PI Björn Ommer was recently featured in Frankfurter Rundschau, commenting on the impact of Google’s new AI-powered search mode. The article discusses how AI-generated summaries in search results may reduce traffic to publishers and reshape how users access information online. Ommer emphasized …

13.11.2025

Fabian Theis Among the World’s Most Cited Researchers

TUM News

MCML PI Fabian Theis is listed among the world’s most frequently cited researchers in Biology and Biochemistry for his work on mathematical modeling of biological systems. In total, 14 TUM scientists were recognized in the 2025 Highly Cited Researchers rankings by Clarivate, highlighting their …

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Next Events

All Events

20

Nov

Link to Distilling Heterogeneous Treatment Effects: Stable Subgroup Estimation in Causal Inference

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AI Keynote Series • 20.11.2025 • Online via Zoom

4:00 pm - 5:30 pm

Distilling Heterogeneous Treatment Effects: Stable Subgroup Estimation in Causal Inference

Melody Huang, Political Science and Statistics & Data Science, Yale University

Recent methodological developments have introduced new black-box approaches to better estimate heterogeneous treatment effects; however, these methods fall short of providing interpretable characterizations of the underlying individuals who may be …

27

Nov

MCML Event • 27.11.2025 • Ludwig-Maximilians-Universität München Geschwister-Scholl-Platz 1 80539 München Germany

10:00 am - 1:00 pm

MCML General Assembly

Open for All MCML Members

We are pleased to invite all MCML members to the 2025 MCML General Assembly. The assembly will feature updates from the MCML leadership, presentations from our junior members, and opportunities for networking and discussion.

04

Dec

Pitchtalk Series • 04.12.2025 • Hochschule für Philosophie Kaulbachstraße 31/33 80539 München

4:00 pm - 6:30 pm

MCML Pitchtalks With CReAITech

Join Us for Networking and Insights

MCML and CReAITech unite for an inspiring PhD Workshop on AI agents in science and their ethical, legal, and social aspects (ELSA). Join us for the PhD Workshop “AI Agents in Science: Ethical, Legal, and Social Aspects (ELSA)”, hosted by the Munich …

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2018-12-10 - Last modified: 2025-11-13