Konstantinos Georgatzis is a data scientist in client projects at QuantumBlack, where he leads the development of methodologies to optimize commercial performance for pharma and healthcare clients, focusing on clinical trial and real-world patient outcomes. He is also developing ways to further improve algorithms that are frequently used within QuantumBlack. Konstantinos has extensive experience in developing machine learning methods, especially for healthcare analytics using biomedical and clinical data. Konstantinos has published eight articles in international machine learning and medical conferences, four of them as first author, and presented in multiple conferences. He also holds a position as a reviewer for international machine learning conferences. He holds a PhD from the University of Edinburgh, where his research focused on developing novel machine learning methods and applying them to better model the biosignals of intensive care unit patients.
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