MCML Logo

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.

PIs at MCML
≈
Principal Investigators
Junior Members at MCML
+
Junior Members
Publications of MCML
+
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.

Learn more

Latest News

 All News
Link to MCML Researchers With 29 Papers at CVPR 2025

 

10.06.2025

MCML Researchers With 29 Papers at CVPR 2025

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025). Nashville, TN, USA, 11.06.2025 - 15.06.2025

We are happy to announce that MCML researchers are represented with 29 papers at CVPR 2025. Read more to get details on the topics.

Link to Daniel Rückert Elected Fellow of the Royal Society

©TUM

04.06.2025

Daniel Rückert Elected Fellow of the Royal Society

Over 90 Scientists Elected as Royal Society Fellows in 2025

MCML Director Daniel Rückert has been elected to the Fellowship of the Royal Society, UK’s national academy of sciences, in recognition of his contributions to artificial intelligence in medicine and healthcare. The Fellowship is awarded to individuals who have significantly advanced knowledge in …

Link to Call for Papers for NLPOR - First Workshop on Bridging NLP and Public Opinion Research

 

20.05.2025

Call for Papers for NLPOR - First Workshop on Bridging NLP and Public Opinion Research

Co-Located With COLM 2025, 10.10.2025, Montreal, Canada

Recent advances in Natural Language Processing (NLP) and Large Language Models (LLMs) are transforming how we engage with and interpret human-generated data—highlighting critical issues around data quality, bias, and ethics. At the same time, Public Opinion Research (POR) offers well-established …

All news

Next Events

 All Events

11

Jun

Link to Veridical Data Science and PCS Uncertainty Quantification

 

Colloquium  •  11.06.2025  •  LMU Department of Statistics and via zoom

4:15 pm - 5:45 pm

Veridical Data Science and PCS Uncertainty Quantification

Bin Yu, Berkeley

Data Science is central to Al and has driven most of the recent advances in biomedicine and beyond. Human judgment calls are ubiquitous at every step of the data science life cycle (DSLC): problem formulation, data cleaning, EDA, modeling, and …

23

Jun


-

27

Jun

Link to 11. International Summer School on AI and Big Data

©ScaDS.AI

Summer School  •  23.06.2025 - 27.06.2025  •  Penck Hotel Dresden Ostra-Allee 33, 01067 Dresden, Germany

1:00 pm - 12:30 pm

11. International Summer School on AI and Big Data

Mehwish Alam, Télécom Paris
Fredrik Heintz, Linköping University
Ralf Koerrenz, University Jena
Philipp Lorenz-Spreen, TU Dresden University of Technology
Anand Subramoney, Royal Holloway, University of London

The 11th International Summer School on AI and Big Data brings together graduate students, PhD students, researchers, and professionals interested in the areas of Artificial Intelligence, Big Data, and Machine Learning. This year, the focus will be …

25

Jun

Link to Practical Causal Reasoning as a Means for Ethical ML

 

Colloquium  •  25.06.2025  •  LMU Department of Statistics and via zoom

4:15 pm - 5:45 pm

Practical Causal Reasoning as a Means for Ethical ML

Isabel Valera, Uni Saarbrücken

In this talk I will give an overview of the role of causality in ethical machine learning, and in particular, in fair and explainable ML. In particular, I will first detail how to use causal reasoning to study fairness and interpretability problems …

All events

2018-12-10 - Last modified: 2025-06-10