At Champalimaud Foundation’s Natural Intelligence Lab, I led a study on human planning and navigation, from defining the research question and protocol to coding tasks in jsPsych and recruiting participants on Prolific.
I built a Python pipeline to turn raw trial files into clean datasets, then tested hypotheses using mixed-effects logistic regression and Monte Carlo simulations. I also piloted the tasks and adjusted their difficulty based on a difficulty-curve analysis.
Across research experiences at the University of Hamburg and CNRS laboratories, I worked on memory, eye movements, and decision confidence. My projects have also examined speech models and language acquisition, and compared ResNet-50 models with primate visual cortex using representational similarity analysis.
