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MCML - Associates

Associates are scholars who are strongly affiliated with MCML research.

They hold research positions at a Munich institution: LMU Munich, TU Munich, Helmholtz, Fraunhofer, etc. These researchers explore key topics in core ML and AI and are making top contributions to advancing methodologies and concepts in these fields.

Andreas Döpp

Dr. habil.

Data-driven methods in Physics and Optics

A1 | Statistical Foundations & Explainability

Vincent Fortuin

Dr.

Bayesian Deep Learning

A1 | Statistical Foundations & Explainability

Thomas Gabor

Prof. Dr.

Technology and Research on Artificial Intelligence Laboratory

A3 | Computational Models

Daniel Grün

Prof. Dr.

Astrophysics, Cosmology and Artificial Intelligence

C3 | Physics and Geo Sciences

Georgios Kaissis

Dr.

Privacy-Preserving and Trustworthy AI

A1 | Statistical Foundations & Explainability

Christoph Kern

Prof. Dr.

Social Data Science and AI Lab

C4 | Computational Social Sciences

Johannes Kinder

Prof. Dr.

Programming Languages and Artificial Intelligence

A3 | Computational Models

Johannes Maly

Prof. Dr.

Mathematical Data Science and Artificial Intelligence

A2 | Mathematical Foundations

Sven Mayer

Prof. Dr.

Human-Computer Interaction and Artificial Intelligence

C5 | Humane AI

Martin Menten

Dr.

AI in Medicine

C1 | Medicine

Marcus Paradies

Prof. Dr.

Database Systems & Data Mining

A3 | Computational Models

Steffen Schneider

Dr.

Dynamical Inference

A3 | Computational Models

Michael Schomaker

Prof. Dr.

Biostatistics

A1 | Statistical Foundations & Explainability

Peter Schüffler

Prof. Dr.

Computational Pathology

C1 | Medicine