HaDi MaBouDi

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With an educational background in mathematics and neuroscience, I am an interdisciplinary researcher working at the interface of biology, mathematics and computation, with a focus on uncovering the fundamental principles of natural intelligence. My expertise spans insect behaviour, neuroscience and biocomputation, and I aim to bridge natural and artificial intelligence by identifying the mechanisms that underpin true autonomy in embodied intelligent systems.

Drawing on both academic and industrial experience, I develop and integrate behavioural experiments, neurobiological techniques and computational modelling to understand how miniature brains support flexible, efficient behaviour, and to translate these insights into bio-inspired solutions. Alongside my research, I am an active mentor and collaborator, committed to building inclusive, high-performing research environments, advancing biological and artificial intelligence, and contributing to the wider scientific community through peer review, outreach and public engagement.

Experience

  • 2024–present
    Research fellow, School of Biosciences, University of Sheffield
  • 2022–2024
    Senior Research Engineer, Opteran Technologies
  • 2018–2022
    Research Fellow, Department of Computer Science, University of Sheffield
  • 2015–2018
    Postdoctoral fellow, School of Biological and Behavioural Sciences, Queen Marry University of London
  • 2009–2011
    Math Lecturer, Azad University, Central Tehran Branch
  • 2008–2010
    Machine Learning Developer , Advanced Information and Communication Technology Research Center, Sharif University of Technology

Contact HaDi for

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  • Consulting / Advising
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  • Research supervision