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Dr Zina Ibrahim

Senior Lecturer in Artificial Intelligence in Medicine

Biography

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.

    Research

    statistics data
    Precision Medicine and Statistical Learning

    Precision Medicine & Statistical Learning

    News

    King's College London announced winner of the Government's AI Fairness Innovation Challenge

    A project led by Dr Zina Ibrahim, Senior Lecturer in Artificial Intelligence in Medicine at the Institute of Psychiatry, Psychology & Neuroscience, has won...

    AI healthcare

    Ethics of AI-Based Medical Tools: In Search of Autonomy, Beneficence, Non-Maleficence & Justice

    Read about King's work on the ethical implications of integrating AI-based medical tools into diagnosis and treatment, as featured in the Bringing the Human...

    Ethics Case Study Image BTHTTA crop 780x440 AdobeStock_269430438

    Events

    24MayPrediction Modelling in Psychiatry Thumb

    Fair Modelling: a qualitative framework for an ethical development & implementation of AI models for precision medicine

    In this talk, Dr Raquel Iniesta introduces Fair modelling, a qualitative framework that serves as an interrogation for an ethical integration of AI decision...

    Please note: this event has passed.

    24MayEthics Case Study Image BTHTTA crop 780x440 AdobeStock_269430438

    How an AI-based clinical decision tool works

    Meet Dr Raquel Iniesta to learn more about the ethical implications of integrating AI recommendations on treatment choices and diagnosis of disease.

    Please note: this event has passed.

      Research

      statistics data
      Precision Medicine and Statistical Learning

      Precision Medicine & Statistical Learning

      News

      King's College London announced winner of the Government's AI Fairness Innovation Challenge

      A project led by Dr Zina Ibrahim, Senior Lecturer in Artificial Intelligence in Medicine at the Institute of Psychiatry, Psychology & Neuroscience, has won...

      AI healthcare

      Ethics of AI-Based Medical Tools: In Search of Autonomy, Beneficence, Non-Maleficence & Justice

      Read about King's work on the ethical implications of integrating AI-based medical tools into diagnosis and treatment, as featured in the Bringing the Human...

      Ethics Case Study Image BTHTTA crop 780x440 AdobeStock_269430438

      Events

      24MayPrediction Modelling in Psychiatry Thumb

      Fair Modelling: a qualitative framework for an ethical development & implementation of AI models for precision medicine

      In this talk, Dr Raquel Iniesta introduces Fair modelling, a qualitative framework that serves as an interrogation for an ethical integration of AI decision...

      Please note: this event has passed.

      24MayEthics Case Study Image BTHTTA crop 780x440 AdobeStock_269430438

      How an AI-based clinical decision tool works

      Meet Dr Raquel Iniesta to learn more about the ethical implications of integrating AI recommendations on treatment choices and diagnosis of disease.

      Please note: this event has passed.