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AI X-Change Program

The MCML AI X-Change program aims to support Junior Members at MCML to collaborate internationally with high-impact research institutions in the field of machine learning.

How to apply

How to apply

Junior Members who plan a research exchange at a well-acknowledged institution in their field of research are invited to apply for funding. Each year, the MCML supports up to twelve research projects abroad.

The aims of the research visit should be a joint paper or the development of research projects that result in joint funding applications.


For further information and how to apply, please visit the MCML-Collab.

Past AI X-Change Research Visits

Link to Research Stay at Princeton University

©MCML

01.12.2025

Research Stay at Princeton University

Abdurahman Maarouf – Funded by the MCML AI X-Change Program

From May to July, I spent three exciting months as a visiting researcher at the Computer Science Department of Princeton University, hosted by Prof. Manoel Horta Ribeiro. The visit grew out of a keynote Manoel gave at LMU. After his talk, we discussed potential joint projects at the intersection of causal inference, machine learning, and social …

Link to Research Stay at Stanford University

©MCML

24.11.2025

Research Stay at Stanford University

Kun Yuan – Funded by the MCML AI X-Change Program

During my research stay at Stanford University from July to September 2025, I had the pleasure of being part of the research group led by Assistant Professor Serena Yeung in the Department of Biomedical Data Science. My two-month stay in California gave me the opportunity to investigate how public scientific articles can be leveraged to build …

Link to Research Stay at Harvard University

©MCML

17.09.2025

Research Stay at Harvard University

Hannah Laus – Funded by the MCML AI X-Change Program

This summer, I had the incredible opportunity to spend 11 weeks at Harvard University as part of the AI X-change program, visiting the group of Flavio Calmon at the Harvard John A. Paulson School of Engineering and Applied Sciences. The idea for this visit came after my former office mate and collaborator, Claudio Mayrink Verdun, a former member of …

Link to Research at EWCS at the Broad Institute of MIT and Harvard

©MCML

04.03.2025

Research at EWCS at the Broad Institute of MIT and Harvard

Cecilia Casolo - Funded by the MCML AI X-Change Program

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) and Erna Viterbi Professor of Engineering in EECS and IDSS at MIT. My three-month stay in Boston …

Link to Research Collaboration Between TUM/MCML and Stanford University

©MCML

07.01.2025

Research Collaboration Between TUM/MCML and Stanford University

Maolin Gao - Funded by the MCML AI X-Change Program and BaCaTeC

During the summer of 2024, I had the privilege of representing the Computer Vision Group at TUM, led by MCML Director Daniel Cremers, in a collaborative research project with the Geometric Computing Group at Stanford University, headed by Prof. Leonidas Guibas. During my three-month stay at Stanford, researchers from both institutes delved deeply …

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For Junior Members

The MCML offers its Junior Members valuable initiatives to promote their professional and academic development.

For PhD Applicants

We advertise PhD positions on an annual basis, our call for applications is usually released in autumn.

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The Machine Learning Consulting Unit (MLCU) is part of the MCML and offers applied researchers scientific consulting.

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2025-02-09 - Last modified: 2025-10-29