I am currently a Ph.D. student advised by Iris Groen and Cees Snoek at the Video & Image Sense Lab in the Institute for Informatics at the University of Amsterdam.

My research interest involves leveraging computational modeling and neuroimaging techniques to understand representations of navigational affordances in the human visual system and computational models. I am inspired by the idea to combine the sucesses of state-of-the-art computer vision algorithms with classical approaches of measuring human behavior and neuroimaging to better understand how we perceive the world around us.

I am a PhD student in the Visual and Image Sense Lab at the University of Amsterdam since October 2020. I have completed a Bachelor in Psychobiology (2012-2015) and a Master in Brain and Cognitive Sciences (2016-2019), both at the University of Amsterdam.

My PhD project focuses on the exploration of temporal dynamics in the human visual system, during natural image perception. By collecting neuroimaging data, and combining these with computational models, I hope to gain more insight in how visual input is processed and which mechanisms underlie visual encoding across a variety of brain areas.

I am a Ph.D. student at the Brain and Cognition group at the University of Amsterdam funded by the Data Science Centre. My supervisors are Iris Groen and Steven Scholte. I hold a Bachelor's degree in Computer Science from the University of Göttingen as well as a Master's Degree in Artificial Intelligence from the Vrije Universiteit Amsterdam.

My research will focus on investigating the effect of using inductive biases to improve natural image processing from the perspective of object classification, information processing, as well as understanding neural data obtained by neuroimaging techniques.

I am a postdoc at the Brain and Cognition group at the University of Amsterdam, working with Steven Scholte and Iris Groen. Before that, I did my PhD in Cognitive Neuroscience at the Donders Institute in Nijmegen.

My research focuses on investigating how the brain can visually parse complex everyday scenes. I plan to do so by comparing human neuroimaging data with computational models that explicitly represent relations between objects.

I studied Psychology and Artificial Intelligence at the University of Amsterdam. I am currently a Research Assistant with Iris Groen investigating the representation of scene affordances in deep neural networks. Next year I will start my masters in AI and Cognitive Neuroscience, specialising in Neural Computation and Neurotechnology at Radboud University. My goal is to combine these two disciplines in order to reverse engineer the human brain and gain better understanding of it. My interests lay in brain computer interfaces and I would love to collaborate in research involving brain controlled assistive technology. You can always hit me up for a cup of tea or soup!