Monica Paoletti is a PhD student in Cognitive Neuroscience at SISSA. She completed both her BSc and MSc in Mathematics at the University of Turin, where she specialized in probability and statistics, information theory, dynamical systems, algorithms, and statistical physics. Her doctoral research focuses on modeling the behavior of humans and rats in sequential decision-making tasks within the framework of Bayesian Inference. As a Google Summer of Code contributor with INCF and EBRAINS, she is developing methods to transition from simulation-based inference to Bayesian inference for Virtual Brain models, with a particular focus on the Montbriò model.
