About Sam Perochon
I am currently a PhD candidate in mathematics at the Ecole Normale Superieure Paris-Saclay. The main machine learning-related fields I work on are computer vision (unsupervised temporal segmentation, multi-source analysis), classification on tabular data (in settings with missing values, class imbalance, and limited sample size), speech processing (voice activity detection, analysis of vocalizations), and unconstrained gaze data analysis.
The health-related applications of my work are the screening of autism spectrum disorder and the ecological quantification of dysexecutive syndromes severity.
I work under the supervision of Laurent Oudre (Centre Borelli, Ecole Normale Superieure Paris-Saclay), Pr. Guillermo Sapiro (Sapiro Lab, Duke University), and Pr. Matias Di Martino (Sapiro Lab, Duke University).