In her research career, Roxana Danger has often pursued and achieved the dual goal of improving the performance of information extraction systems while proposing and validating novel mechanisms for storing and analyzing the extracted data in semantic knowledge databases. Roxana is currently working as a data scientist at ReedOnline LTD, designing and applying machine learning and NLP techniques for providing data-driven insights to the company. She was previous enrolled as a research associate at the Computing Department of Imperial College London, where she designed and implemented a provenance platform and data mining tools for diagnosis decision support in health care systems, as part of EU-FP7 project TRANSFoRm, and at the Department of Computer Systems and Computation at Universidad Politécnica de Valencia, Spain, where she worked on the development of an information extraction system for protein-protein interactions. Roxana holds a PhD from University Jaume I, Castellon, Spain, where her project aimed at extracting and analyzing semantic data from archaeology site excavation reports, and undergraduate and master’s degrees in computer science from Universidad de Oriente, Santiago de Cuba.
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