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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

A1 | Statistical Foundations & Explainability

Data-driven methods in Physics and Optics

David Egger

Prof. Dr.

C3 | Physics and Geo Sciences

Theory of Functional Energy Materials

Vincent Fortuin

Dr.

A1 | Statistical Foundations & Explainability

Bayesian Deep Learning

Thomas Gabor

Prof. Dr.

A3 | Computational Models

Technology and Research on Artificial Intelligence Laboratory

Daniel Grün

Prof. Dr.

C3 | Physics and Geo Sciences

Astrophysics, Cosmology and Artificial Intelligence

Georgios Kaissis

Dr.

A1 | Statistical Foundations & Explainability

Artificial Intelligence in Healthcare and Medicine

Christoph Kern

Prof. Dr.

C4 | Computational Social Sciences

Social Data Science and AI Lab

Johannes Kinder

Prof. Dr.

A3 | Computational Models

Programming Languages and Artificial Intelligence

Christian Kühn

Prof. Dr.

A2 | Mathematical Foundations

Multiscale and Stochastic Dynamics

Johannes Maly

Prof. Dr.

A2 | Mathematical Foundations

Mathematical Data Science and Artificial Intelligence

Sven Mayer

Prof. Dr.

C5 | Humane AI

Human-Centered Ubiquitous Media

Marcus Paradies

Prof. Dr.

A3 | Computational Models

Datenbanksysteme und Data Mining

Steffen Schneider

Dr.

A3 | Computational Models

Dynamical Inference

Michael Schomaker

Prof. Dr.

A1 | Statistical Foundations & Explainability

Biostatistics

Peter Schüffler

Prof. Dr.

C1 | Medicine

Computational Pathology

Helge Stein

Prof. Dr.

C3 | Physics and Geo Sciences

Digital Catalysis