Dr Giulia Tomba

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Daphne Jackson Fellow at The Alan Turing Institute.

Name: Dr Giulia Tomba
Field: Engineering & Technology; Life Sciences & Biomedicine

Specialisms:

Machine learning
Public health

Research and qualifications:

MEng in Materials Engineering from the University of Trieste
PhD in Physics from King’s College London
Postdoctoral Fellowships at the Japan Society for the Promotion of Science
Postdoctoral Researcher at the University of Bremen, Germany
Postdoctoral Researcher at the University of Cambridge

Returning to her research after a four year break, Giulia’s Fellowship is entitled: “Explainability and stakeholder engagement in machine learning for healthcare: a co-design strategy within the EDoN initiative.” Giulia’s research integrates the active involvement of clinical experts and patients with the use of machine learning in the diagnosis of early dementia.

Host

The Alan Turing Institute

Funders

The Alan Turing Institute

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