Jumana Ahmad PhD, MSc, BSc

Lecturer in Psychology

Jumana started at Greenwich in May 2019 as a Lecturer in Psychology. Before this, she worked as a postdoctoral research at the Institute of Psychology, Psychiatry and Neuroscience, King's College London, in the Department of Forensic and Neurodevelopmental Sciences. Prior to this, she was a research associate at the University of Birmingham in the School of Psychology. Jumana teaches across a range of topics in Cognition, Psychological methods and statistics. She has a background in data analysis, statistical methods, computer programming, working memory, neurodevelopmental conditions and EEG signal decomposition – she would be very happy to form collaborations with other academics looking to work in these areas.

Posts held previously:

  • 2016 - 2019, Postdoctoral researcher in Cognitive Neuroscience and scientific co-ordinator of AIMS-2 trials. Kings College London.
    This is a Multicentre Study for Developing New Treatments for autism – it is the largest single grant for autism in the world, and the largest for the study of any mental health disorder in Europe. Jumana took a leading role in the co-ordination and design of experiments across 7 European sites.
  • 2013 - 2015, Research Associate in Psychology. The University of Birmingham. The Visual Experience Lab.
    Primary project: Competitive interactions and WM processing. This project involves psycho-physics experiments of target-target and target-distractor competitive interactions and WM precision.
    Second project: Wellcome Trust funded project 'Working memory and attention in the young-adult and ageing human brain: distractor suppression and cortical-striatal loops'. 
  • 2010- 2014, Associate Lecturer in Psychology and Computer Science. The University of Kent, Canterbury.
    Undergraduate: Biological Psychology, Cognitive Psychology, Psychology statistics and practical, Final year project Surgeries, Research Experience Scheme supervisor.
    Postgraduate: Methods in Cognitive Neuroscience, Computational Cognitive Neural Networks.