# Research Intern in Distributed Learning and Inference **Full time.** *Literature review of Distributed Learning and Distributed Statistical Inference.* I participated massively to the redaction of a document on the state of the art both on theory and applications of these subjects in healthcare. A mandate from SPOR Canadian Data Platform (https://cdp.hdrn.ca/en/home). The term "distributed" refers to non-centralized datasets on which we want to perform an analysis, where methods are computed in different centres, without data explicitly exiting these places. A prime example are electronic health records from hospitals of multiple Canadian provinces.