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David Emerson is an Applied Scientist at the Vector Institute working on applied research and development in natural language processing (NLP) and federated learning. He obtained his PhD in Applied Mathematics at Tufts University in 2015 working on numerical methods for partial differential equations. Since graduating, he has focused on machine-learning research and worked in various applied research and development positions at companies in Toronto. His areas of interest include NLP, generative modeling, federated learning, and machine learning theory, especially optimization.
Talks About #appliedmathematics #scientificcomputing
Preferred Locations #NorthAmerica
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