08.09.2025
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 …
13.08.2025
As a kid, Niki Kilbertus dreamed of becoming a theoretical physicist and discovering a fundamental law of nature. But when reality proved more complex, he found a new path through computer science.
10.07.2025
We are happy to announce that MCML researchers have contributed a total of 25 papers to ICML 2025: 20 Main, and 5 Workshop papers. Congrats to our researchers!
23.04.2025
We are happy to announce that MCML researchers have contributed a total of 52 papers to ICLR 2025: 35 Main, and 17 Workshop papers. Congrats to our researchers!
04.03.2025
During my research stay at Broad Institute of MIT and Harvard in autumn 2024, I had the pleasure of being part of the research group led by Caroline Uhler, Director of the Eric and Wendy Schmidt Center (EWCS) at the Broad Institute, and Andrew (1956) …
01.01.2025
We are happy to announce that MCML researchers are represented in 2025 with 110 papers in highly-ranked journals. Congrats to our researchers!
05.12.2024
We are happy to announce that MCML researchers have contributed a total of 31 papers to NeurIPS 2024: 23 Main, and 8 Workshop papers. Congrats to our researchers!
18.11.2024
The BMBF is funding two new joint projects with several MCML researchers involved. One teaches AI models causal relationships, the other refines the tactile abilities of robots.
CausalNet: AI that Understands Cause and Effect
The CausalNet project aims …
25.06.2024
Founded in 2000 as the first academy for outstanding young academics, the Junge Akademie brings together exceptional minds from all scientific disciplines and the arts. At this year’s annual ceremony, ten young scientists were welcomed as new members. …
13.06.2024
Our PI Niki Kilbertus was awarded the Leopoldina Prize for Young Scientists for his research and teaching achievements. As a Professor of Ethical Machine Learning, he focuses on the research and development of fair and transparent machine learning. …
30.04.2024
We are happy to announce that MCML researchers have contributed a total of 15 papers to ICLR 2024: 9 Main, and 6 Workshop papers. Congrats to our researchers!
01.01.2024
We are happy to announce that MCML researchers are represented in 2024 with 90 papers in highly-ranked journals. Congrats to our researchers!
22.11.2022
We are happy to announce that MCML researchers have contributed a total of 15 papers to NeurIPS 2022: 11 Main, and 4 Workshop papers. Congrats to our researchers!
2025-09-08 - Last modified: 2025-10-11