Covid-19 Update

Due to the latest government update the College is now closed to all but essential staff. If you are a staff member and are unsure about your status, please remain at home and contact your head of department. If you need help with logging into the Staff Area with your Raven ID, please click here.

Dr Kamila Jozwik

Subject Neuroscience
Fellow type Postdoctoral By-Fellows
Year started 2019


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

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.