Kamila Jozwik

Kamila Jozwik

Associated Research Module: 

Associated Research Thrust: 

I am a Sir Henry Wellcome fellow currently working with Jim DiCarlo and Nancy Kanwisher at MIT and Zoe Kourtzi at the University of Cambridge. I am interested in modelling the visual object representations in the brain and behaviour, for human and monkey, using deep neural networks. 

Research interests

Broadly I'm interested in the following questions:

  • How does the primate brain process visual information? 
  • More specifically - how does the primate brain recognise objects? 
  • What are the underlying computations of visual processing? 

I'm using fMRI, EEG, MEG, behavioural measures and single-cell recording data, together with computational modelling to understand these processes better. 
Currently, I am interested in modelling object representations in the brain and behaviour, for human and monkey, using deep neural networks.  


After a completion of a BSc in Biotechnology at the University of Warsaw, I did an MPhil and a PhD in Biological Sciences at the University of Cambridge. My PhD was in the field of breast cancer genomics where I worked with Jason Carroll. I collaborated with Simon Baron-Cohen using genomics techniques in autism research. During the PhD, in parallel to the genomics research, I started working with Marieke Mur and Niko Kriegeskorte to gain experience in cognitive computational neuroscience, investigating feature-based and categorical representations in object recognition. Subsequently, I was a Humboldt fellow working with Radek Cichy at the Free University Berlin, studying animacy dimensions in object recognition and comparing words and images object representations.


  • Jozwik, K.M., Kriegeskorte, N., Cichy, R. M., Mur, M. (2018), “Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations.” Conference on Cognitive Computational Neuroscience
  • Jozwik, K.M., Kriegeskorte, N., Storrs, K. R., Mur, M. (2017), “Deep convolutional neural networks outperform feature-based but not categorical models in explaining object similarity judgments.” Frontiers in Psychology 8(10):1726
  • Jozwik, K.M., Charest I., Kriegeskorte, N. Cichy, R. M., “Animacy dimensions ratings andapproach for decorrelating stimuli dimensions.” Conference on Cognitive Computational Neuroscience
  • Jozwik KM, Kriegeskorte N, Mur M (2016), “Visual features as stepping stones toward semantics: Explaining object similarity in IT and perception with non-negative least squares.” Neuropsychologia 83:201-26.
  • Jozwik KM, Chernukhin I, Serandour AA, Nagarajan S, Carroll JS (2016), “FOXA1 directs H3K4 monomethylation at enhancers via recruitment of the methyltransferase MLL3.” Cell Reports 17(10):2715-2723.
  • Jozwik KM, Carroll JS (2012), “Pioneer factors in hormone dependent cancers.” Nature Reviews Cancer 12(6):381-5.
Email:  kmjozwik@mit.edu
Room:  46 - 6157