Kamila Jozwik

I am a Royal Society University Research Fellow and an Assistant Research Professor at the University of Cambridge. I’m also a member of the Center for Brains, Minds & Machines at Massachusetts Institute of Technology, now MIT Quest for Intelligence. 

CV

4-year PhD position in visual cognitive computational neuroscience in my lab at the University of Cambridge (only UK home fees students)

Research interests

My research programme is about understanding visuo-semantic cognition in healthy populations and individuals affected by mental health disorders (using cognitive computational neuroscience, NeuroAI, and neurotechnology techniques). My research has focused on probing specific visual dimensions in the context of face, animacy, and object representations more generally. I combine experimental behavioural tasks, brain imaging (fMRI and M/EEG), and, through collaborations, macaque electrophysiology, where I use machine learning techniques for data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI models (Google Scholar: https://scholar.google.com/citations?hl=en&user=oEifmSgAAAAJ&view_op=list_works&sortby=pubdate). Under my recent grant, I plan to disentangle and model behaviourally-relevant visual and semantic dimensions of visual cognition in the human brain: 1) characterise behaviourally-relevant visual and semantic dimensions of visual cognition by the use of large-scale brain imaging datasets of responses to images and model these representations with AI models (deep neural networks), 2) define and model dimensions related to the perception of animacy when interacting with objects and people using videos, 3) determine to what extent these brain representations and dimensions change when humans are immersed in the environment (using mobile EEG). I am also a member of Cambridge NeuroWorks (powered by Advanced Research and Invention Agency - ARIA), where I am exploring applying my expertise in visuo-semantic cognition and AI to neurotechnology and mental health applications, specifically in the context of interfacing with the brain through non-invasive focused ultrasound stimulation and utilising generative AI for exposure therapy in healthy populations and those affected by mental health disorders.

Bio

My research interests have been influenced by working with and being inspired by my mentors and colleagues, whom I am grateful to. In recent years, I have been a Sir Henry Wellcome fellow working with Jim DiCarlo and Nancy Kanwisher at MIT, studying questions related to the dimensionality and topography of brain and behavioural representations. Previously, 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. During my PhD, in parallel with my genomics research with Jason Carroll, I began working with Marieke Mur and Niko Kriegeskorte to investigate feature-based and categorical representations in object recognition. I did an MPhil and a PhD in Biological Sciences at the University of Cambridge, and a BSc at the University of Warsaw (I'm Polish).