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Michael Hurst

Principal Data Scientist

Michael has both an upper second-class honors degree in Computer Science and a master’s degree in Human Computer Interaction with distinction from Swansea University. In addition, Michael undertook a PhD from Loughborough University researching Affective Computing systems (i.e. systems that possess the ability to empathize with a user), in which extensive work was achieved within the mining and analysis of large-scale healthcare data sets.

Michael is currently employed as a principal data scientist at HEOR, where he is tasked with data mining, developing company wide data science strategy and the design and development of budget impact models and cost-effectiveness models. As well as core Computer Science skills, Michael provides support with a wide range of analysis techniques across an array of platforms and software, including Java, JavaScript, R, Python and VBA. He is also proficient in the tools and techniques of handling big data including the use of SQL and also working with several machine learning techniques, such as neural networks, random forests and support vector machines, to aid in analysis and disease screening projects.

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