Women in AI at Oxford

The Researchers

Nine researchers. Nine fields. One institution. Each using artificial intelligence to push the boundaries of what is possible in their discipline.

Alison Noble
Health & AI

Alison Noble

Technikos Professor of Biomedical Engineering, Department of Engineering Science

In healthcare, people must remain at the heart of AI. Technologies come and go; the real challenge is knowing when, and when not, to trust them.

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Ana Namburete
Medical Imaging & AI

Ana Namburete

Associate Professor, Department of Computer Science

Using AI to rethink how we understand early brain development – and making sure those tools work for patients everywhere.

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Charlotte Deane
Structural Biology & AI

Charlotte Deane

Professor of Structural Bioinformatics, Department of Statistics

Using AI to make drug discovery faster, cheaper and more open.

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Héloïse Stevance
Astrophysics & AI

Héloïse Stevance

Schmidt AI in Science Postdoctoral Fellow, Department of Physics

Building virtual research assistants that help astronomers find exploding stars – and asking what we risk losing when we let a machine decide what is boring.

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Jun Zhao
AI Ethics & Children

Jun Zhao

Senior Researcher, Department of Computer Science

The data being collected from children learning to count was being sent to third parties. When Jun Zhao found out, her own children were among them.

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Konstantina Vogiatzaki
Fluid Dynamics & AI

Konstantina Vogiatzaki

Associate Professor of Engineering Science, Somerville College

The systems most likely to fail are the ones hardest to test. She is building the tools to understand them anyway.

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Marina Jirotka
Human Centred Computing

Marina Jirotka

Professor of Human Centred Computing, Department of Computer Science

We didn’t really understand intelligence. We still don’t. The most important question has never been how these systems work – but what they do to the people who use them.

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Natalia Ares
Quantum & AI

Natalia Ares

Associate Professor of Engineering Science, Department of Engineering Science

The aim is not simply to build a faster computer. It is to build one that can do things no computer has ever done.

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Noa Zilberman
Computing Infrastructure

Noa Zilberman

Professor and Head of the Computing Infrastructure Group, Department of Engineering Science

When asked whether AI is sustainable, her answer is direct. ‘Currently it’s not.’ She’s working on fixing it.

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