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Bio

Marcel van Gerven (‘s-Hertogenbosch, 1976) was trained as a cognitive scientist. He received his degree in Cognitive Science in 2000 at Radboud University. After completing his studies, he worked at the Max Planck Institute for Psycholinguistics and the Institute of Ophthalmology, UCL, London. He also worked in the software industry on artificial intelligence (AI) and educational applications. In 2007 he obtained his PhD at Radboud University on probabilistic models for cancer diagnosis, prognosis and treatment selection. This research was done in collaboration with clinicians at the Netherlands Cancer Institute in Amsterdam and conducted in part at the UNED in Madrid.

After completing his PhD, van Gerven worked as a postdoctoral researcher at the Institute for Computing and Information Sciences and the Donders Centre for Cognitive Neuroimaging. He created novel brain-computer interfacing paradigms and developed machine learning algorithms for neural data analysis. Subsequently, he was appointed assistant and associate professor at the AI department of the Faculty of Social Sciences. Van Gerven is principal investigator in the Donders Centre for Cognition and is head of the AI department at Radboud University.

My Google citations profile can be found here. My researcher ID can be found here.

Publications

See http://www.artcogsys.com

Positions

2017 Full Professor / Principal Investigator
Donders Institute for Brain, Cognition and Behaviour
Faculty of Social Sciences
Radboud University (1.0 fte, fixed-term)
2016 Associate Professor / Principal Investigator
Donders Institute for Brain, Cognition and Behaviour
Faculty of Social Sciences
Radboud University (1.0 fte, fixed-term)
2010 Assistant Professor / Principal Investigator
Donders Institute for Brain, Cognition and Behaviour
Faculty of Social Sciences
Radboud University (1.0 fte, fixed-term)
2009 Postdoctoral researcher
Machine Learning Group, Intelligent Systems Department
Institute for Computing and Information Sciences
Radboud University (1.0 fte, fixed-term)
2007 Postdoctoral researcher
Machine Learning Group, Intelligent Systems Department
Institute for Computing and Information Sciences
Radboud University (1.0 fte, fixed-term)
2006 Visiting researcher
Departamento de Inteligencia Artificial
UNED, Madrid, Spain
2003 PhD student
Information Retrieval and Information Systems
Radboud University Nijmegen (1.0 fte, fixed-term)
2002 Software Engineer
LCN Planning and Scheduling (1.0 fte, fixed-term)
2001 Visiting Researcher
Institute of Ophthalmology
University College London, London, UK
2000 Scientific Programmer
Max Planck Institute for Psycholinguistics (1.0 fte, fixed-term)
2000 Research assistant psycholinguistics
Max Planck Institute for Psycholinguistics

Teaching

Neural Networks

Computational Cognitive Neuroscience

Management

2017-present Head of the AI department
2017-present Chair of the AI educational programme
2016 Coordinator of the RU Honours Programme on Wider Implications of Cognitive Neuroscience
2014-2017 Coordinator of AI Master track ‘Computation in Neural and Artificial Systems’
2013-2017 Chair of Bachelor education committee
2013-2015 Coordinator of the DCC computing cluster
2011-2013 Internationalization committee member
2010-2013 Bachelor education committee member

Education

2015 Academic Leadership
2014 Masterclass on Theatre in Science
2013 Extended Academic Teaching Qualification (UKO)
2011 Academic Teaching Qualification (BKO)
2007 PhD degree (FNWI)
Institute for Computing and Information Sciences
Radboud University Nijmegen
Thesis: Bayesian Networks for Clinical Decision Support
2000 Master’s degree in Knowledge Engineering
Radboud University Nijmegen
Thesis: A model of neural organization: Hierarchical development of the cerebral cortex
1999 Bachelor’s degree in Cognitive Science
Radboud University Nijmegen

Supervision

See http://www.artcogsys.com

Promotions

2017 Max Hinne. Bayesian Connectomics: A Probabilistic Perspective on Brain Networks (cum laude; copromotor)
2017 Marieke van de Nieuwenhuijzen. Decoding the Perception and Memory Trace: Neuronal Representations of Perceptual and Memory content in Time and Space (copromotor)
2016 Haiteng Jiang. Characterizing brain oscillations in cognition and disease (copromotor)
2014 Irina Simanova. In Search of Conceptual Representations in the Brain: Towards Mind-Reading (copromotor)
2012 Ali Bahramisharif. Covert Visual Spatial Attention: a Robust Paradigm for Brain-Computer Interfacing (copromotor)

Defense Committees

2016 Simon Jan Hazenberg. Perceptual constructions : Contextual effects on colors, shapes and scenes (examiner)
2016 Sander Bosch. Reactivating memories in hippocampus and neocortex (examiner)
2015 Roemer van der Meij. On the identification, characterization and investigation of phase dependent coupling in neuronal networks (examiner)
2015 Fabian Pedregosa. Feature extraction and supervised learning on fMRI: from practice to theory (examiner)
2014 Elaine Astrand. Real‐Time Readout of Neural Contents in Visual Perception and Selection in the Non‐human Primate (reviewer, examiner)
2014 Alex Brandmeyer. Auditory Perceptual Learning via Decoded-EEG Neurofeedback: Towards a Novel Paradigm (reviewer)
2012 Diego Vidaurre. Regularization for Sparsity in Statistical Analysis and Machine Learning (reviewer)
2011 Botond Cseke. Variational Algorithms for Bayesian Inference in Latent Gaussian Models (examiner)
2010 Aritz Perez. Advances in Error Estimation and Multi-Dimensional Supervised Classification (reviewer)

Grants

2017TTW Perspective grant Efficient deep learning (co-applicant)
2017DCC PhD scholarship: Affective computing in natural and artificial agents (€217K)
2017LII BQ1 postdoc position
2017STW Perspective grant Neuronal stimulation for recovery of function (co-applicant)
2016FAS research assistantship
2016DCC PhD scholarship: Visual processing beyond retinal stimulation (€217K)
2016NVidia grant
2016LII utilisation grant: Aiding people with visual impairments or neurodegenerative disorders by real-time linguistic description of their surroundings
2015NWO GO Vidi grant: Peering into the human mind: Decoding internal representations from brain activity (€800K)
2015FAS research assistantship
2015DCC research assistantship
2015DCC feasibility grant (€20K)
2013Open Competition NWO EW: Bayesian modeling of brain networks (€217K)
2013DCC Postdoc position (€170K)
2012DCC PhD scholarship: Connectivity-based prediction of cognitive and motor function (€217K)
2011Open Competition NWO MAGW: Decoding the memory trace (€217K)
2010Open Competition NWO EW: Sparse learning of deep models (€217K)

Symposium organisation

Co-organizer of NVP Symposium on Computational Cognitive Neuroscience 2015
Co-organizer of ICCM workshop on Computational Cognitive Neuroscience 2015
Co-organizer of Donders summer schools (2010, 2013, 2014, 2015)
Co-organizer of Pattern Recognition in Neuroimaging workshop 2014
Co-organizer symposium `connectivity and multivariate classification approaches’ at BioMag2010

Invited talks

2017IntArt17, Montreal. Title: Artificial Cognitive Systems
2017Cosyne, Salt Lake City. Title: ANN-based prediction of neural and behavioral responses in humans
2017Karolinska Institutet, Stockholm. Title: Modeling human brain function with artificial neural networks
2016UvA, Amsterdam. Title: What artificial neural networks tell us about human brain function
2016Bernstein conference workshop, Berlin. Title: Recurrent neural networks as models of cognitive processing
2016Charite, Berlin. Title: Modeling Human Brain Function with Artificial Neural Networks
2016OHBA, Oxford. Title: Modeling Human Brain Function with Artificial Neural Networks
2016IMPRS NeuroCom Summer School, Leipzig. Title: Modeling Human Brain Function with Artificial Neural Networks
2016Human Brain Mapping, Geneva. Title: Population Receptive Field Modeling
2016ABC Summerschool, Amsterdam. Title: Computational Cognitive Neuroscience
2016Netherlands Institute for Neuroscience, Amsterdam. Title: Probing Cortical Representations with Deep Neural Networks
2015University of Düsseldorf, Düsseldorf, Germany. Title: Probing Cortical Representations with Deep Learning
2015University of Amsterdam. Title: Probing Cortical Representations with Deep Learning
2014Osnabrück University, Osnabrück, Germany. Title: Probing Cortical Representations with Deep Learning
2014Linköping University, Linköping, Sweden. Title: Probing Cortical Representations with Deep Learning
2014Symposium Real-world vision in the brain, UvA, Amsterdam. Title: Learning Representations that Drive Cortical Responses
2014Machine learning summer school, DTU, Lyngby, Denmark. Title: Machine Learning for Neural Data Analysis
2014HBM educational session on Pattern Recognition for Neuroimaging, Hamburg, Germany. Title: Decoding of Conceptual Representations
2014PRNI tutorial, Tübingen, Germany. Title: Something Bayesian
2014VSS Conference symposium, St. Petersburg, Florida, US. Title: Learning and Comparison of Visual Feature Representations
2013ERCIM, University College London, London. Title: Bayesian Connectomics
2013Centre for Mathematics and Computer Science, Amsterdam. Title: Decoding the Contents of Visual Experience
2013University of Amsterdam. Title: Bayesian Connectomics
2013Neurospin, Saclay, France. Title: Bayesian Connectomics
2012Denmark Technical University, Copenhagen, Denmark. Title: Bayesian Structural Connectivity Analysis
2012ERMITES summer school on Representations and Decisions in Cognitive Vision. Title: Percept Decoding with Sparse Latent Variable Models
2012ICML Workshop on Statistics, Machine Learning and Neuroscience, Edinburgh, UK. Title: Decoding of Cognitive States: From Patterns to Mechanisms
2011Machine Learning and Neuroimaging workshop, Marseille, France. Title: Percept Decoding with Sparse Latent Variable Models
2011Konstanz University, Konstanz, Germany. Title: Multivariate Decoding of Cognitive States
2011Neuroinformatica.NL symposium. Title: Machine Learning Meets Neuroscience
2010Department of Artificial Intelligence, Facultad de Informatica, Universidad Politecnica de Madrid. Title: Neural Decoding
2009Almende. Title: Brain-Computer Interfacing

Scholarships and Awards

2017Best poster award, Donders theme meeting
2016Best poster award, Donders theme meeting
2013Nominee for the Hermesdorf International award
2013Best poster award, Donders theme meeting
2009Best poster award, BrainGain Conference
2009Winner of the Pittsburgh Brain Connectivity Competition
2007Johan Brouwer Fonds, research scholarship (€5K)

Presentations at international workshops and conferences

International Conference on Cognitive Modeling (ICCM)
Vision Science Society (VSS)
Pattern Recognition in Neuroimaging (PRNI)
International Conference on Artificial Neural Networks (ICANN)
Human Brain Mapping (HBM)
Neural Information Processing Systems (NIPS)
Specialist Group on Artificial Intelligence (SGAI)
Probabilistic Graphical Models (PGM)
Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP)
European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU).

Reviewing

PLoS Biology, PNAS, Neuroimage, Human Brain Mapping, Machine Learning, Neural Information Processing Systems, CoSyne, Transactions on Biomedical Engineering, International Conference on Machine Learning, Artificial Intelligence in Medicine, Journal of Neural Engineering, International Statistical Review, IEEE Transactions on Medical Imaging, Journal of Neurophysiology.

Committees

Special issue editor for Neuroimage
Special issue editor for Frontiers in Computational Neuroscience
Review editor for Frontiers in Brain Imaging Methods
Review editor for Frontiers in Computational Neuroscience
Program committee member for ICANN 2014
Program committee member for BENELEARN 2013
Program committee member for the IJCNN 2013 special session on Unsupervised Model-Based Learning: Bayesian regularization and Sparsity
Program committee member for Pattern Recognition in Neuroimaging 2012, 2013
External reviewer for De Hersenstichting and Fondazione Bruno Kessler

Societal Impact

Media appearances

2017 Radio 1: News en Co
2016 Volkskrant, NRC, Tros Nieuwsshow
2013 Volkskrant, NRC, VPRO Tegenlicht, Radio 1: Met het oog op morgen, BBC World Radio, Wired

Company involvement

2016 Co-founder of CCNLab holding

Research bodies

2015 External advisor for the Human Brain Project

Public understanding of science

Company presentations (Almende, ASML)
High-schools (beta summer-camp, code-yard project, 4VWO dag, Nijmeegse tweedaagse)
Dissemination to the general public (lustrum F.C. Donders Centre for Cognitive Neuroimaging, Lux Researcher’s Night, Alumni dag)
Editor of the Donders Institute Newsletter 2014-2017

Courses taught:

2013-present Course coordinator Computational Cognitive Neuroscience (DCC)
2013-present Course coordinator Neural Networks (DCC)
2011 Lecturer Trends in AI (DCC)
2011 Lecturer Knowledge Representation and Reasoning (DCC)
2011 Course coordinator Brain Reading (DCC)
2010-2011 Lecturer Caleidoscope AI (DCC)
2010-2011 Lecturer Brain Dynamics & Connectivity (DCCN)
2009-2010 Lecturer Introduction to BCI (DCC)
2009-2012 Lecturer Toolkit of Cognitive Neuroscience (DCCN)
2008-2010 Course coordinator Signal Processing for BCI (DCC)
2008 Guest lecturer in Artificial Intelligence (Catholic University of Ghana)
2007 Lecturer in Robotics (DCC)
2006 Teaching assistant Intelligent Systems (ICIS)
2005 Teaching assistant Research Methods (ICIS)
2004 Teaching assistant Research & development (ICIS)
2004 Teaching assistant Integration Project 2 (ICIS)
2004 Teaching assistant Systems theory (ICIS)
2003 Teaching assistant Orientation on Information Science 2 (ICIS)
1999 Student assistant Programming in C++ (NICI)
1999 Student assistant Neural Networks (NICI)

Theses

MAJ van Gerven. Bayesian Networks for Clinical Decision Support. Nijmegen, The Netherlands: Radboud University Nijmegen; 2007.

MAJ van Gerven. A Model of Neural Organization: Hierarchical Development of the Cerebral Cortex. Raboud University Nijmegen; 2000.