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MSc, BSc at Massachusetts Institute of Technology
Marie Charpignon is a PhD student in the Interdisciplinary Doctoral Program in Statistics at MIT Institute for Data, Systems, and Society (IDSS). Her research focuses on causal inference methods for drug repurposing for Alzheimer's Disease using electronic health record data from the US and UK, in collaboration with MGH’s Biomedical Informatics, Harvard Medical School’s Systems Pharmacology Laboratory and Imperial College London. Since taking HST.953 and HST.956, Marie has had the opportunity to work with various health data science projects, honing her skills in data integration and harmonization. These include understanding the drivers of excess deaths from COVID-19, examining the effect of news media in disease outbreaks,and optimizing definitions of ventilator-associated conditions, among others. She is a veteran mentor of numerous health datathons organized by MIT Critical Data, including those held in Sao Paulo, Milan, Seoul, Boston, Singapore, New York and Orlando.