Lab

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Team Members
Tim C Kietzmann
Full Professor
Tim obtained his PhD in Cognitive Science (Dr. rer. nat.) working towards a better understanding of visual processing in humans by combining machine learning and cognitive neuroscience (supervised by Peter König and Frank Tong). After a few years at the MRC Cognition and Brain Sciences Unit of the University of Cambridge, where he worked with Nikolaus Kriegeskorte, he started his own lab at the Donders (Radboud University). In 2022, he became Full Professor for Machine Learning at the Institute of Cognitive Science (University of Osnabrück). For more details, see Tim’s CV here.
Contact Tim here:
Katja Ruge
Administrative Lab Manager
Katja completed her vocational education in office management in Osnabrueck. At the same time she studied Cognitive Science at the University of Osnabrueck for two semesters but decided to continue working in administration. Katja now works for the Institute of Cognitive Science and is responsible for the organization of all administrative tasks in the lab.

Contact Katja here:

+49 541 969-3373

Adrien Doerig
Postdoc
Adrien studied neuroscience and physics at EPFL, and completed his Ph.D. in Neuroscience there under the supervision of Michael Herzog. His research focuses on developing new artificial network architectures and objectives to study visual processing and, more broadly, to understand how and when different computational properties emerge. He also works on theoretical issues in consciousness science.
Contact Adrien here:
Sushrut Thorat
Postdoc
Sushrut studied physics at IIT Bombay (India) and cognitive neuroscience at CIMeC (Italy). He completed his Ph.D. in cognitive neuroscience at the Donders Institute (Netherlands). His work involved neuroimaging and normative modeling with neural networks. Now a postdoc, he will focus on building and studying (recurrent) neural networks that can flexibly perform computations and learn continually.
Contact Sushrut here:
Emer Jones
Graduate student
Emer studied Physical Natural Sciences as an undergraduate at the University of Cambridge before moving to the University of York for an MSc in Cognitive Neuroscience. She is now a PhD student based at the MRC Cognition and Brain Sciences Unit in Cambridge, co-supervised by Tim Kietzmann (University of Osnabrück) and Matt Lambon Ralph (Cambridge). She is interested in using artificial neural networks as a modelling framework for the human visual ventral stream in health and disease.
Contact Emer here:
Abdullahi Ali
Graduate student
Abdullahi completed his B.Sc. and M.Sc. in Artificial Intelligence specializing in neural computation. He is interested in the biophysical constraints and environmental pressures that drive organization and information processing in the visual cortex. He aims to develop biologically-plausible recurrent neural network models that can solve visual problems in ecologically valid environments. Abdullahi is co-supervised by Tim Kietzmann (University of Osnabrück) and Marcel van Gerven (Donders)
Contact Abdullahi here:
Philip Sulewski
Graduate student
Philip studied Psychology in Osnabrück and Göttingen specializing in visual psychophysics and cognitive neuroscience. After a research internship at ENS Paris he joined our lab for his master thesis and now for his PhD project. His research focuses on the neural mechanisms underlying the extraction and integration of visual information across multiple fixations. Philip is co-supervised by Tim Kietzmann and Peter König (University of Osnabrück).
Contact Philip here:
Zejin Lu
Graduate student
Zejin previously specialized in computer vision in the context of vehicle engineering at Hunan University, China. His research in the lab focuses on conditions of map formation in non-convolutional neural network models, and reinforcement learning in virtual environments. Zejin is jointly supervised by Tim Kietzmann (University of Osnabrück) and Radoslaw Martin Cichy (Free University Berlin).
Contact Zejin here:
Daniel Anthes
Graduate student
Daniel studied Artificial Intelligence and Cognitive Neuroscience at Radboud University.
During his master’s he joined the lab for his thesis, studying functional alignment using deep neural networks.
Now a PhD student, he is interested in researching representations in biological and artificial neural networks and exploring artificial neural networks’ properties that can support continual learning.
Contact Daniel here:

Victoria Bosch
Master student
Contact Victoria here:

Dirk Gütlin
Research assistant
Contact Dirk here:

Kirubes Waran
Master student
Contact Kirubes here:


Rachael Cheng
Master student
Contact Rachael here:
Alumni
Courtney Spoerer
PhD student
Nicolas Yax
Master student
Elgar de Groot
Master student

Pieter Barkema
Master student

Bas Krahmer
Master student

Johannes Mehrer
Postdoc

Sean Gies
Master student