Grace Dupuis is a skilled data scientist with extensive experience in machine learning and deep learning, currently employed at Intact since June 2020, following a similar role at Goldspot Discoveries Inc. from June 2018 to June 2020. Dupuis has a strong background in analytics and research and development, adept at working with both structured and unstructured data across various domains, including geospatial/geoscience, images, and financial data. Previous roles include a research scientist position at McGill University from September 2010 to February 2017, where Dupuis conducted phenomenological research on dark matter and new particle physics, as well as serving as a teaching assistant. Earlier research assistant positions at the University of Victoria involved experimental particle physics and the analysis of satellite-asteroid system dynamics. Grace Dupuis holds a PhD and an MSc in Physics from McGill University and a B.Sc. in Physics from the University of Victoria.
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