Kamila is a cognitive computational neuroscientist whose work has focused on visuo-semantic representations of vision, contributing to our understanding of face and object recognition. She combines experimental approaches - including behavioural tasks, brain imaging (fMRI and M/EEG), and electrophysiology (through collaborations) - with computational modelling, with a special interest in biologically-inspired deep learning. She plans to extend her research in vision to mental health and integrate focused ultrasound stimulation into her work. In earlier research, Kamila used genomics, proteomics, and molecular biology techniques.
Kamila explored two ideas: using topographical AI models to test predictions in neurotechnology, and applying generative AI to support exposure therapy in mental health.
“I wanted to explore and challenge my ideas, benefiting from the expertise of clinical, engineering, industry, and the wider neurotech communities. I also wanted to form interesting collaborations along the way.”
| Highlights | Context | More info |
|---|---|---|
| OHBM 2016 | Oral Session | Perceptual Representations | Kamila was a presenter on Organization for Human Brain Mapping, a YouTube channel that shares cutting-edge research and educational content about mapping and understanding the human brain through advanced brain-imaging technology. | Watch here |
| Face dissimilarity judgments are predicted by representational distance | Kamila presented on Thinking About Thinking a YouTube channel that cultivates and spreads topics about intelligence. | Watch here |
