Research

Research from the University of Cambridge is accelerating progress in AI’s core technical capabilities, enabling the application of AI technologies across sectors and disciplines, and building understandings of their impact and the levers to promote their ethical development.

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New Encode Fellowships boost AI research at Cambridge

Cambridge scientists are using artificial intelligence technology to boost research in a range of fields – from better understanding human intelligence, to describing turbulent flows, to freeing computer systems from the cloud – after securing new Fellowships launched to drive breakthrough discoveries.

‘Artificial cartilage’ could improve arthritis treatment

Researchers have developed a material that can sense tiny changes within the body, such as during an arthritis flare-up, and release drugs exactly where and when they are needed.

Researchers use AI to ‘see’ landslides and target disaster response

Researchers from the University of Cambridge are using AI to speed up landslide detection following major earthquakes and extreme rainfall events—buying valuable time to coordinate relief efforts and reduce humanitarian impacts.

AI can accelerate search for more effective Alzheimer’s medicines by streamlining clinical trials

Scientists have used AI to re-analyse a clinical trial for an Alzheimer’s medicine, and identified a group of patients who responded to treatment. The work demonstrates that AI can inform the design of future clinical trials to make them more effective and efficient, accelerating the search for new medicines.

‘AI scientist’ suggests combinations of widely available non-cancer drugs can kill cancer cells

An ‘AI scientist’, working in collaboration with human scientists, has found that combinations of cheap and safe drugs – used to treat conditions such as high cholesterol and alcohol dependence – could also be effective at treating cancer, a promising new approach to drug discovery.

To save nature, AI needs our help

Amid the hype about AI’s potential to turbocharge human abilities, researchers in Cambridge’s Conservation Research Institute are leading conversations to make sure we advance with eyes wide open.

Turbocharging the race to protect nature and climate with AI

Using the power and speed of AI to tackle our most pressing challenges.

AI can be good for our health and wellbeing

Cambridge researchers are looking at ways that AI can transform everything from drug discovery to Alzheimer's diagnoses to GP consultations.

Using AI to diagnose coeliac disease

Research shows that AI is as good as pathologists at diagnosing coeliac disease

Fully AI driven weather prediction system could start revolution in forecasting

A new AI weather prediction system, developed by researchers from the University of Cambridge, can deliver accurate forecasts tens of times faster and using thousands of times less computing power than current AI and physics-based forecasting systems.

Free tech eliminates the fear of public speaking

Cambridge scientist launches free AI-enabled virtual reality platform that transforms users into skilled and confident public speakers.

£10 million programme to use AI and state-of-the-art analytics to fight cancer

Cambridge researchers are to lead a £10million project that could result in doctors being able to predict your individual chances of getting cancer and offer personalised detection and prevention.

Cambridge leads governmental project to understand impact of smartphones and social media on young people

Cambridge researchers are leading the first phase of a new research project that will lay the groundwork for future studies into the impact on children of smartphone and social media use.

New datasets will train AI models to think like scientists

A collaboration of researchers, including from the University of Cambridge, has reached a milestone toward training artificial intelligence models to find and use transferable knowledge between fields to drive scientific discovery.

‘Smart choker’ uses AI to help people with speech impairment to communicate

Researchers have developed a wearable ‘smart choker’ that uses a combination of flexible electronics and artificial intelligence techniques to allow people with speech impairments to communicate by detecting tiny movements in the throat.

AI able to identify drug-resistant typhoid-like infection from microscopy images in matter of hours

Artificial intelligence (AI) could be used to identify drug resistant infections, significantly reducing the time taken for a correct diagnosis, Cambridge researchers have shown. The team showed that an algorithm could be trained to identify drug-resistant bacteria correctly from microscopy images alone.

Training AI models to answer ‘what if?’ questions could improve medical treatments

Machines can learn not only to make predictions, but to handle causal relationships. An international research team shows how this could make medical treatments safer, more efficient, and more personalised.

Artificial intelligence beats doctors in accurately assessing eye problems

A study has found that the AI model GPT-4 significantly exceeds the ability of non-specialist doctors to assess eye problems and provide advice.

AI trained to identify least green homes by Cambridge researchers

First of its kind AI-model can help policymakers efficiently identify and prioritize houses for retrofitting and other decarbonizing measures.

Cambridge and Google partner to facilitate AI research

The University of Cambridge and Google are building on their long-standing partnership with a multi-year research collaboration agreement and a Google grant for the University’s new Centre for Human-Inspired AI to support progress in responsible AI that is inspired by and benefits people.

UK needs AI legislation to create trust so companies can ‘plug AI into British economy’

Legislating for AI safety and transparency will allow British industry and education to put resources into AI development with confidence, argue researchers.

Scientists begin building AI for scientific discovery using tech behind ChatGPT

An international team of scientists, including from the University of Cambridge, have launched a new research collaboration that will leverage the same technology behind ChatGPT to build an AI-powered tool for scientific discovery.

AI-driven techniques reveal new targets for drug discovery

Researchers have developed a method to identify new targets for human disease, including neurodegenerative conditions such as Alzheimer’s disease.

Machine learning models can produce reliable results even with limited training data

Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

Is Data Justice key to Climate Justice?

Biased artificial intelligence needs human help to avoid harmful climate action, Cambridge researchers say.

How sure is sure? Incorporating human error into machine learning

Researchers are developing a way to incorporate one of the most human of characteristics – uncertainty – into machine learning systems.

Our People

ai@cam brings together researchers from departments across the University.

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Demetrius A. Floudas

Visiting Scholar in Law at Downing College

Luke Abraham

Director of Research

Elizabeth Allen

Alex Almeida

Principal Investigator, MRC Career Development Fellow

Alex Archibald

Lecturer

John Aston

Harding Professor of Statistics in Public Life

Shahar Avin

Senior Research Associate

Julius Christopher Baeck

PhD student

Stephen Baker

Somenath Bakshi

Associate Professor

Soumya Banerjee

Senior Research Associate

Ronita Bardhan

Matthew Barker

Viviana Bastidas

Research Associate in Urban Systems and Infrastructure

Haydn Belfield

Yael Benn

Senior Lecturer

Alan Blackwell

Professor of Interdisciplinary Design

Inbar Bobrovsky

OpRaise Project Coordinator

Michael Boemo

Assistant Professor of AI and Disease

Emma Boland

Physical Oceanographer

Nicolas Boullé

Anna Breger

Senior Research Associate

Sam Brockington

Professor of Evolution

Paula Buttery

Professor of Language and Machine Learning

Paul Calleja

Director of Research Computing Services

Albert Cardona

Professor

Vasco Carvalho

Matt Castle

Head of Bioinformatics Training

Colm Caulfield

Professor of Environmental and Industrial Fluid Dynamics

Stephen Cave

Director

Jerry Chen

PhD Candidate

Maurice Chiodo

Research Associate

Alec Christie

Henslow Research Fellow

Alice Cicirello

Assistant Professor in Applied Mechanics

Jennifer Cobbe

Katherine Collins

David Coomes

Conservation Research Institute Director; Head of Forest Ecology and Conservation Group

Ann Copestake

Professor of Computational Linguistics

Giulio Corsi

Research Associate

Diane Coyle

Bennett Professor of Public Policy

Miles Cranmer

Assistant Professor in Data Intensive Science

Mireia Crispin

Assistant Professor

Gábor Csányi

Professor of Molecular Modelling

Matt Davis

Programme leader

Ramit Debnath

Assistant Professor of Mathematics and Social Design

Lynn Dicks

University Lecturer in Animal Ecology

Eleanor Drage

Senior Research Feloow

Richard Durbin

Professor of Genetics

Chris Edsall

Head of Research Software Engineering

Carl Henrik Ek

Senior Lecturer

Guy Emerson

Executive Director, Cambridge Language Sciences

Sebastian Eves-van den Akker

Head of the Plant-Parasite Interactions Group

Isla Fay

Senior User Researcher

Amanda Ferguson

Anne Ferguson Smith

Arthur Balfour Professor of Genetics; Pro-Vice-Chancellor for Research

Stefan Feuerriegel

Joshua Fitzgerald

Munby Fellow in Bibliography, Cambridge University Library

Jennie Fletcher

Lead Software Developer

Marla Fuchs

Executive Director, Institute of Computing for Climate Science

Diana Fusco

University Assistant Professor in Biological Physics

Irene Galandra

Coordinator for Collections, Connections, Communities

Catherine Galloway

Innovation and Translation Lead at The Kavli Centre for Ethics, Science, and the Public

Christos Genakos

Professor of Economics

Zoubin Ghahramani

Professor of Information Engineering

Jenny Gibson

Professor of Developmental Psychology

Sam Gilbert

Affiliated Researcher

Mark Girolami

Sir Kirby Laing Professor of Civil Engineering

Ann Kristin Glenster

Senior Policy Adviser

Angela Godoy

Simon Godsill

Head of Information Engineering

Siavash Golkar

Andrew Grace

Professor Experimental Cardiology

Onkar Gulati

PhD Candidate

Ajay Halai

Senior Research Associate

Diana Halikias

Namshik Han

Group Leader

Verity Harding

Director of the AI and Geopolitics Project (AIxGEO)

Richard Harrison

Director

Miguel Hernández Lobato

Professor of Machine Learning

Manuel Herrera

Senior Research Associate in Distributed Intelligent Systems

Shirley Ho

Tomasz Hollanek

Research Fellow

Scott Hosking

Research leader in AI and Digital Twinning for the environment

Reham Hosny

Julian Huppert

Director

Fumiya Iida

Professor of robotics

Maya Indira Ganesh

Associate Director (Research Partnerships) | Programme Co-director, Narratives & Justice

Milena Ivanova

Teaching Associate

Florian Jaeckle

Research Associate

Sadiq Jaffer

Senior Research Associate

Mateja Jamnik

Professor

Mark Johnson

Professor of Experimental Psychology

Huw Jones

Head of Digital Library

Henrik Jönsson

Professor

Napoleon Katsos

Professor in Experimental Linguistics

Frank Kelly

Emeritus Professor of the Mathematics of Systems

Srinivasan Keshav

Kristina Khutsishvili

Research Associate

Ross King

Automating Science using Robot Scientists

Kate Knill

Principal Research Associate

Anna Korhonen

Professor

Zoe Kourtzi

Professor of Cognitive Computational Neuroscience, Royal Society Industry Fellow

Markus Kraft

Professor of Chemical Engineering; CARES Director

Nikhil Krishnan

Lecturer

David Krueger

Virag Lakner

Nic Lane

Professor of Machine Learning Systems

Francois Lanusse

Alexei Lapkin

Professor of Sustainable Reaction Engineering

Neil Lawrence

Chair, ai@cam

Katie Light

Programme Manager for the Accelerate Programme for Scientific Discovery

Emily Lines

University Associate Professor in Physical Geography, UKRI Future Leaders Fellow, Turing Fellow

Pietro Liò

Professor of Computational Biology

Mathew Lowe

Collections Manager

Erik Mackie

Research Engagement Manager

Anil Madhavapeddy

Professor of Planetary Computing

Alexandru Marcoci

Research Associate in AI Risk and Foresight

Florian Markowetz

Professor of Computational Oncology

Kerry McInerney

Research Fellow

Richard McMahon

Professor of Astronomy

Vito Mennella

MRC investigator Director of Research

Gos Micklem

Professor in Computation and Molecular Biology

Richard Milne

Tim Minshall

Dr John C Taylor Professor of Innovation, and Head of the Institute for Manufacturing

Jess Montgomery

Director, ai@cam

Anna Moore

Assistant Professor in Child Psychiatry and Medical Informatics

Sarah Morgan

Departmental Early Career Research Fellow

Henry Moss

Early Career Advanced Fellow

Sach Mukherjee

MRC Investigator

Leila Muresan

SRA

Andy Neely

Pro-Vice-Chancellor

Gina Neff

Executive Director

Katarzyna Nowaczyk-Basińska

Research Fellow

Sean O'hEigeartaigh

Director, AI: Futures and Responsibility Programme

Luigi Occhipinti

Amy Orben

Programme leader

Dominic Orchard

Co-director of the Institute of Computing for Climate Science

Kwadwo Oti-Sarpong

Senior Research and Teaching Associate in Urban Systems and Infrastructure Managemen

Harry Owen

Wallace Peaslee

PhD student

Elinor Pegler

Communications Manager

Silviu Petrovan

Senior Research Associate

Mariel Pettee

Pauline Luise Pfuderer

PhD student

Tuan Pham

Digital Transformation Programme Director

Chris Pickard

Sir Alan Cottrell Professor of Materials Science

Brechtje Post

Professor of Phonetics and Phonology

Richard Prager

Head of Cambridge University Engineering Department

Lucia Reisch

Professor for Behavioural Economics and Public Policy

Sam Reynolds

Research Associate

Timothy Rittman

Amelie Roper

Head of Research

Robert Rouse

Researcher

Henrik Salje

Professor

Mihaela van der Schaar

Sjors Scheres

Group Leader

Stefan Scholtes

Jennifer Schooling

Carola Schönlieb

Professor of Applied Mathematics

Annabelle Scott

Programme Manager

Emily Shuckburgh

Director

Jat Singh

Principal Researcher

Gordon Smith

Head of Department

Rebecca Smith

Senior Research Associate

Liz Soilleux

Professor/ Group Leader/ Honorary Consultant

Sushmita Sridhar

Keshav Srinivasan

Robert Sansom Professor of Computer Science

Helen Strudwick

Senior Curator

Maoran Sun

Bill Sutherland

Professor of Conservation Biology

Apolline Taillandier

Postdoctoral Research Fellow

Deborah Talmi

Associate Professor

Kenza Tazi

PhD Student

Sarah Teichmann

Senior Research Fellow

Arun Thirunavukarasu

Yau Thum

Fertility Specialist

Roni Tibon

Assistant Professor

Ulrike Tillmann

Director

Alex Townsend

Tuan-Anh Tran

Richard Turner

Professor of Machine Learning

Aleksei Turobov

Research Associate

Ben Underwood

Mo Vali

PhD Candidate

Saaliha Vali

Michele Vendruscolo

Ruth Walker

Senior Teaching Associate

Jane Walsh

Manager, Cambridge Language Sciences Interdisciplinary Research Centre

Li Wan

Associate Professor in Urban Planning and Development

Bob Wardrop

CEO, RegGenome

Staci Weiss

Research Associate

Adrian Weller

Director of Research in Machine Learning

Alex Woolgar

Professor of Cognitive Neuroscience

Junwei Yang

PhD Candidate

Matteo Zallio

Assistant Professor

Are you working on AI at Cambridge University?

In such a dynamic field, it isn’t easy to keep our researcher database up to date. If you think you should be on the list above, submit a profile via our website update form at the link below, or a pull request via our GitHub repo.