Zina ibrahim is a Senior Lecturer in Artificial Intelligence in the Department of Biostatistics and Health Informatics at King's College London and is also a member if the Precision Health Informatics Group.

Her research spans the theoretical foundations of knowledge representation and machine learning and their application to computational models that support biomedical knowledge discovery and medical decision support. Zina's interest in medicine lies in disease and specialty agnostics, focusing on the implementation of state-of-the-art AI formalisms in this highly sensitive domain. She is also particularly interested in AI-based novelty that targets solving pressing and open problems in making trustworthy and robust recommendations in medical settings.

After completing a BSc (Honours) in Software Engineering in 2003, her interest in AI kick-started her academic career. She went on to obtain her MSc (2004) and PhD (2010) in Artificial Intelligence from the University of Windsor, Canada.

Zina joined King's College in 2011 as a Postdoctoral Researcher and started her lectureship in 2016.

 

Research Interests:

• Knowledge representation and reasoning
• Machine Learning
• Neurosymbolic AI
• Medical Applications of AI

Teaching:

Module lead for 2 MSc Modules:

• Machine Learning for Health and Bioinformatics
• Introduction to Health Informatics.