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Ghita Berrada is an Assistant Professorial Lecturer at the Data Science Institute, London School of Economics (LSE). She completed her PhD in Computer Science at the University of Twente, Netherlands, where she focused on designing a medical data sharing platform utilizing electroencephalograms (EEGs) to minimize misdiagnosis risk. Before joining LSE, she worked as a Research Associate at the University of Edinburgh's School of Informatics, investigating categorical anomaly detection techniques aimed at identifying advanced persistent threats in operating system provenance graphs. Additionally, she also served at King's College London, where her main focus was on clinical decision support systems, tackling cancer diagnosis and antibiotic prescription. Her research interests lie in developing decision support systems, particularly within healthcare and computer security domains. Berrada's work addresses challenges such as the design of systems that assist users in making decisions from unbalanced and uncertain data. She aims to create ethical decision support systems that avoid negative externalities while presenting results in a user-friendly manner. Her expertise includes graph mining, anomaly detection, machine learning, databases, and explainability in artificial intelligence.
University of Edinburgh, School of Informatics • Edinburgh, UK
Investigated categorical anomaly detection techniques to identify advanced persistent threats.
King's College London, School of Life Course & Population Sciences • London, UK
Worked on clinical decision support systems focusing on cancer diagnosis and antibiotics prescription.
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