Cluster Members

The Cluster "Machine Learning" currently comprises 31 Full Members and 9 Associate Members. Full members are scientists working directly in the field of machine learning. Associate Members are scientists not directly involved in the field of machine learning, but who are willing to open up new collaborations.

There is the possibility of adding new members. Information about the admission procedure is provided by the Central Office of the Cluster.


A  B  C  D  E  G  H  J  K  L  M  N  O  P  R  S  U  V  W  Z

A

Zeynep Akata

Full Member
Cluster W3 professorship "Explainable Machine Learning"

Zeynep Akata focuses on the interplay between vision and language for learning and for explaining model decisions.
Website

Regina Ammicht Quinn

Full Member
Regina Ammicht works on questions of ethics, especially questions of cultural ethics, ethics and security, technology ethics, ethical questions of digital technology development and ethical questions of gender discourse.
Website

Sabine Andergassen

Full Member
Sabine Andergassen's scientific activities focus on quantum many-body theory.
Website

 

B

Harald Baayen

Full Member
Harald Baayen is interested in words: their internal structure, meaning, distributional properties, and how they are processed in language comprehension and speech production.
Website

Philipp Berens

Full Member
Cluster Speaker

Philipp Berens develops algorithms for analysing multimodal data in neuroscience and clinical diagnostics.
Website

Matthias Bethge

Full Member
Matthias Bethge examines image processing and its neural basis in the human brain using mathematical methods and psychophysical experiments.
Website

Michael Black

Full Member
Michael Black's research spans Computer Vision, Machine Learning, and Graphics, with focus on computing and understanding motion in the world from video.
Website

Martin Butz

Full Member
Martin Butz works on neuro-cognitive modeling of human and artificial intelligence, including its development.
Website

C

Manfred Claassen

Full Member
Manfred Claassen uses machine learning for single-cell biology in health and disease.
Website

D

Peter Dayan

Associate Member
Peter Dayan works on neural reinforcement learning, studying the computational, behavioural and neural substrates of decision-making.
Website

E

Todd Ehlers

Associate Member
Todd Ehlers research interests are in the interactions between climate, tectonics, and biota during mountain building
Webseite

G

Andreas Geiger

Full Member
Andreas Geiger
works at the intersection of computer vision, machine learning and robotics.
Website

Bedartha Goswami

Full Member
Head of the Cluster's Junior Research Group "Machine Learning in Climate Science"
Bedartha Goswami is interested in nonlinear time series analysis, complex network based analysis, and in particular, the role of data uncertainties in shaping our understanding of complex real-world phenomena such as synoptic-scale climatic systems.
Website

H

Matthias Hein

Full Member
Matthias Hein works on theoretical guarantees for machine learning algorithms with the goal of robust, safe and explainable learning.
Website

Philipp Hennig

Full Member
Philipp Hennig develops algorithms for, and as, learning machines.
Website

J

Gerhard Jäger

Associate Member
Gerhard Jäger conducts research on the modeling of language diversity and language change, utilizing machine learning and Bayesian statistical inference.
Website

K

Enkelejda Kasneci

Full Member
Enkelejda Kasneci works on the application of machine learning for intelli­gent and perceptual human-computer interaction.
Website​​​​​​​

Augustin Kelava

Associate Member
Augustin Kelva is interested in psychometrics, estimation of semi- and nonparametric latent variable structural equation models, and regularization in Bayesian models.
Website

Oliver Kohlbacher

Full Member
Oliver Kohlbacher focuses on research in the analysis of omics data (genomics, proteomics, metabolomics), structural bioinformatics, and computational immunomics.
Website

L

Hendrik Lensch

Full Member
Hendrik Lensch focuses on the entire acquisition and imaging pipeline for acquiring analyzing, generating and rendering of realistic 3D models.
Website

Zhaoping Li

Associate Member
Zhaoping Li works on vision and olfaction in the brain, and other related topics such as memory, neural circuits and networks, information theory, signal processing and inference.
Website

Ulrike von Luxburg

Full Member
Cluster Speaker

Ulrike von Luxburg
works on the theoretical foundations and limitations of machine learning.
Website

M

Jakob Macke

Full Member
Cluster W3 professorship „Machine Learning in Science“
Jakob Macke develops machine learning algorithms for scientific discovery. 

Georg Martius

Full Member
Georg Martius works on ML algorithms for embodied agent to make them learn in a develop­mental fashion. Under the hood we study theory and practice of reinforcement learning algorithms, repre­sentation learning, and non-standard deep-learning architectures.
Website

Detmar Meurers

Associate Member
Detmar Meurer's work focuses on empirically rich, linguistically insightful models of human language, especially in the context of language learning and in ecologically valid, real-life education.
Website

N

Katja Kay Nieselt

Full Member
Kay Nieselt focuses on expression analysis and RNA bioinformatics; her her group has designed algorithms and software systems for the analysis of microarray and RNAseq data.
Website

O

Martin Oettel

Associate Member
Martin Oettel works on problems in Statistical Physics and utilizes Machine Learning to analyze simulation data and to build density functional models.
Website

P

Dominik Papies

Associate Member
Dominik Papies use modern econometric methods and diverse data sets to understand the impact of digitization and new technology on markets, consumers, and business models.
Website

Mijung Park

Full Member
Mijung Park focuses on developing practical algorithms for privacy preserving machine learning.
Website

Nico Pfeifer

Full Member
Nico Pfeifer performs research at the intersection between machine learning and medicine, dealing with biased, heterogeneous multi-view data and providing explainable models.
Website

R

Wolfgang Rosenstiel

Full Member
Wolfgang Rosenstiel is working on applications of machine learning in safety critical systems ranging from automotive embedded systems to brain computer interfaces.
Website

S

Bernhard Schölkopf

Full Member
Bernhard Schölkopf is largely dedicated to machine learning and causal inference, important bran­ches in the broad research field of artificial intelligence.
Website

Thomas Scholten

Full Member
Thomas Scholten investigates the role of soils for the environment and humankind using machine learning, geostatistics and large scale field experiments.
Website

Frank Schreiber

Associate Member
Frank Schreiber is interested in the physics of molecular and biological matter, studied in particular with scattering techniques.
Website

Fabian Sinz

Full Member
Fabian Sinz
is interested in the combination of machine learning, computational neuroscience and neuronal data.
Website

Wolfgang Spohn

Full Member
Wolfgang Spohn is interested in formal epistemology, philosophy of science, and the theory of rationality and focuses in particular on causal inference and the representation of uncertainty.
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U

Sonja Utz

Full Member
Sonja Utz is interested in using machine learning methods to understand (the effects of) social media use.
Website

V

Isabel Valera

Full Member
Isabel Valera's research focuses on developing machine learning methods that are flexible, robust, and fair.
Website

W

Felix Wichmann

Full Member
Felix Wichmann investigates human visual perception and cognition combining psychophysical experiments with computational modelling and machine learning.
Website

Z

Andreas Zell

Full Member
Andreas Zell is interested in machine learning algorithms and their applications, autonomous mobile robots, sensor integration and robot vision.
Website