Laura Froelich is a data scientist at DHI, where she’s dedicated to using data to discover patterns and underlying structures to enable optimization of businesses and processes, particularly through deep learning methods. Previously, she worked on a large variety of projects covering industries spanning life sciences to the energy industry at Teradata and was part of a research group investigating nonspecific effects of vaccines using survival analysis methods. Laura earned her PhD from the Technical University of Denmark. For her dissertation, Decomposition and Classification of Electroencephalography Data, Laura used unsupervised decomposition and supervised classification methods to research brain activity and developed rigorous, interpretable approaches to classifying tensor data.
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