Dr. Ghita Berrada

Assistant Professor

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Biography

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.

Research Interests

Experience

Research Associate

— Present

University of Edinburgh, School of Informatics • Edinburgh, UK

Investigated categorical anomaly detection techniques to identify advanced persistent threats.

Research Associate

— Present

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.

Requirements for London School of Economics and Political Science

Master Program
Requirements
GPA Requirement
Required:3.5
IELTS
Listening
Required:6.5
Reading
Required:7
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
Prerequisites
Upper second class honours (2:1) degree or equivalent in a relevant social science discipline
Application Checklist
  • Transcripts
  • Statement of Academic Purpose
  • Two academic references
  • CV
Specialization Notes

Standard English requirement applies to most programs in Geography, Anthropology, Sociology, and Media.