I am a postdoctoral researcher in the Laboratory of Psychophysics (LPSY) at EPFL. You can reach me at cnoluk@gmail.com. Here is my CV.
My research focuses on building image-computable models to explain how the human visual system extracts information from the physical world to guide action across broad range of tasks. In particular, I extend principled, interpretable models (e.g., Bayesian ideal observers) to relatively complex tasks and test their generalisability across task variations. Beyond visual perception, I am interested in theory of model selection and broadly interested in human behaviour and its underlying neural mechanisms (e.g., confidence and consciousness).
You can check out my Google Scholar profile and see some of the models.
Latest news
- August, 2025 — Presented a poster in ECVP: Evaluating ideal observers for large target identification tasks under additive white noise
- August, 2025 — Presented a poster in Systems Vision Science Symposium: Maximum likelihood estimates in visual categorization tasks are biased when pairwise discriminabilities are imbalanced.