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Date/Time
Date(s) - October 20, 2021
8:30 pm - 9:00 pm
Categories
Topic: “Analysing infant fNIRS data with linear classifiers: the impact of data characteristics on performances”
Jessica Gemignani, PhD
Jessica received her PhD from TU Berlin in 2019, after working at NIRx Medical Technologies as Marie-Curie Early Stage Researcher. She is currently a postdoctoral researcher at the Department of Developmental Psychology of University of Padova, in the lab of Judit Gervain. During her PhD, she worked on developing methods to analyze multivariate fNIRS data with machine-learning techniques. Her research interests are now focused on developing and validating this and other analysis methods for data acquired on newborns and infants.