Transfer Activities
«MCML bundles the best AI and ML research at LMU and TUM. We strongly believe in a human-centric view of the field, where ML is used for advancing scientific, social and economic progress. Applicability, explainability and transfer of knowledge are core goals of MCML.»
Prof. Dr. Bernd Bischl
Director
Statistical and ML Consulting
As an important mission of a competence center, MCML offers consulting services to the scientific community within and outside the center.
The Machine Learning Consulting Unit (MLCU) at LMU Munich is part of MCML and offers applied researchers scientific consulting regarding the application and evaluation of machine learning methods. MLCU also welcomes joint research projects with the goal of publication and other forms of cooperation.
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OpenSource and OpenData
MCML supports the research community inside and outside the center in various respects of technical systems and infrastructure.
For a strong assistance in handling data and code, the coordinators are responsible for OpenSource and OpenData activities at MCML.
Reproducibility and Open Science
MCML strongly supports Open Science and Reproducibility endeavors, and closely collaborates with the Open Science Center at LMU Munich.
The coordinators organize and support Open Science activities in MCML by distributing Reproducibility and Open Science knowledge and building a ML benchmarking task force in our center.
Education Coordination
Since excellent ML and AI education is a fundamental goal of our center, the MCML offers support in the area of education of young scientists.
If you have any questions regarding the AI and ML course programs at the different faculties, please do not hesitate to contact our coordinators. In addition, we are developing new academic courses on artificial intelligence and machine learning for a majority of students.
Innovation Lab Coordination
In our student Innovation Lab at LMU Munich, students teams spend a semester working on practical ML and data science projects, usually in cooperation with industry or domain science partners.
The innovation lab coordinator is responsible for acquiring and selecting projects from industry partners and external research labs, managing and executing the course, allocating the necessary infrastructure, and contributing to the supervision of the student groups. We are always looking for project partners from industry and academia. The Innovation Lab is an excellent opportunity for you to get smart and eager students to work on your data science and machine learning projects. If you are interested, feel free to drop us a line.
Entrepreneurship Training
MCML, as a place for innovation and new ideas, establishes an entrepreneurship training program for future entrepreneurs. The goal is to empower ML specialists to transfer their ideas into new business models.
The development of the envisioned training program is undertaken in close collaboration with the LMU Innovation & Entrepreneurship Center, the TUM Venture Labs and the Center for Digital Technology and Management (CDTM), a joint initiative of TUM and LMU that offers training of the next generation of entrepreneurs under the motto "Empowering Innnovators of Tomorrow".
