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Spotlight profiles
Isabel Fenton
Isabel Fenton is applying data science and AI to environmental challenges such as biodiversity loss and renewable energy generation
Carlos Gavidia-Calderon
From the ethics of machine learning to digital twins of hearts, Carlos Gavidia-Calderon tells us about life as a research software engineer
Zachary Kessler
Zachary Kessler explains how he is helping to model social systems such as labour and housing markets
Children and AI team
Turing researchers are working to put children’s rights at the heart of AI development and governance
Rosamund Powell
Rosamund Powell tells us what inspired her to begin a career in AI and national security
Olajumoke Olatunji
Olajumoke Olatunji took part in HDR UK’s Black Internship Programme and was placed in the Turing’s Research Engineering Group
Bryan Kumara
Bryan Kumara’s research on the Trustworthy Digital Infrastructure for Identity Systems project considers how cryptography can help users to protect sensitive information
Nick Pepper
As part of his role in Project Bluebird, Nick Pepper is working to help develop a digital twin which detects the movement of aircraft through airspace
Marta Blangiardo
Marta Blangiardo has been working as part of the RSS-Turing Health lab to help predict COVID-19 prevalence from wastewater
Magda Osman
Magda Osman tells us about her work on a project exploring issues relating to digital immortality – this project took place as part of the Turing’s public engagement grant award.
Matthew Wicker
Matthew Wicker develops theoretical methods and practical tools to help demonstrate the safety, fairness and robustness of machine learning models
Tim Hillel
With his research, Tim Hillel aims to model how the rise of electric vehicle usage and homeworking in the UK will impact demand on both energy and transportation networks
Ibrahim Animashaun
Research Data Scientist Ibrahim Animashaun was the first intern placed at the Turing as part of Health Data Research UK’s (HDR UK) second black internship programme
David Beavan
Senior Research Software Engineer David Beavan is using AI to unlock new insights into the Industrial Revolution
Ruth Ahnert
Living with Machines leader Ruth Ahnert uses data science to analyse historical texts, from Tudor letters to Victorian newspapers
Adrian Weller
Adrian Weller’s research focuses on advancing AI capabilities and helping to ensure that they’ll be used responsibly to benefit individuals and society
Maria Liakata
Turing AI Fellow Maria Liakata’s work is creating tools that can help individuals and clinicians monitor mental health conditions
Morgan Briggs
Senior Research Associate Morgan Briggs is exploring a variety of topics that all relate to ethical and responsible research
Drew Hemment
Turing Fellow Drew Hemment is exploring how the arts can create interactive experiences that help to reframe problems in AI
Heather Selley
Turing Enrichment student Heather Selley is applying machine learning to satellite imagery to detect Antarctic ice shelf changes
Luisa Orsini
Turing Fellow Luisa Orsini is using AI to learn from past environmental change to help make future decisions on biodiversity management
Premdeep Gill
Enrichment student Premdeep Gill is studying Antarctic seals and their sea ice habitats through satellite data, to better understand how they are coping with climate change
Emily Lines
Turing Fellow Emily Lines is building mathematical models of European forests to predict how they will be altered by climate change
Mark Girolami
Programme Director for Data-Centric Engineering, Mark Girolami is pioneering a new engineering discipline that’s informed by the latest thinking in data science
Mhairi Aitken
Ethics Fellow Mhairi Aitken is passionate about engaging the public in conversations around the ethics of data science and AI
Beatrice Alex
Turing Fellow Beatrice Alex is using text mining to analyse brain radiology reports and is helping to develop the first Scottish Gaelic speech recogniser
Ruchi Choudhary
In a nutshell Data-Centric Engineering Group Leader Ruchi Choudhary’s work looks at energy use in buildings – this includes using simulation models to improve energy efficiency
Sabina Leonelli
Turing Fellow Sabina Leonelli’s research considers how we can responsibly connect data across climate, health, agricultural and environmental research
Vaishak Belle
Turing Fellow Vaishak Belle’s career was initially inspired by science fiction – now he works to make machine learning interpretable and to understand how responsible decision-making could be codified
Erin Young
As co-lead of the Turing’s Women in Data Science and AI project, Research Fellow Erin Young’s vital research maps the gendered career trajectories in data science and AI
Anna Scaife
What are the specific AI challenges facing astronomy? Turing AI Fellow Anna Scaife discusses how AI solutions can support scientific analysis, including her fascinating work on the Square Kilometre Array (SKA) telescope
Ed Chalstrey
Research Data Scientist Ed Chalstrey’s journey to the Turing has taken him as far afield as Austria and Brazil. In this Spotlight, he discusses what he’s working on and the best thing about being at the Turing
Karyn Morrissey
Turing Fellow Karyn Morrissey discusses her intriguing work developing a population model on COVID-19 exposure by looking at time use patterns alongside demographic and socioeconomic status
Raffaella Mulas
Postdoctoral research fellow Raffaella Mulas applies mathematical theory to problems in biology and machine learning
Radka Jersakova
Learning new skills has been a key part of Radka Jersakova’s career so far. In our latest Spotlight she tells us what she enjoys about her role as a Senior Research Data Scientist
Mike Wooldridge
Mike Wooldridge, Programme Co-Director for AI, shares his reaction to being awarded this year’s Lovelace Medal and reflects on what kindled his interest in multi-agent systems as an undergraduate
Anya Skatova
Can data offer insights into decision-making and wellbeing? Turing Fellow Anya Skatova explores the potential of using transactional data in population health research
Pamela Ugwudike
Pamela Ugwudike's research considers the ethics and social implications of AI technologies when applied in justice systems to predict crime risks and determine levels of criminal justice intervention
Subramanian Ramamoorthy
Tell us about your research in 2/3 sentences? My research is focussed on using...
Louise Bowler
Research Data Scientist Louise Bowler discusses her work supporting the DECOVID project and why she joined the Turing’s REG group
Brenda Jimenez
Brenda is dedicated to improving health and education quality for people in disadvantaged circumstances.
Jinyuan Qi
I care deeply about improving access to health care for vulnerable and underserved populations.
Nitya Raviprakash
I would love for every child to experience the education they need to achieve their potential.
Yanhong (Billy) Zhao
I would like to reduce the impact of COVID-19 on the lives of the refugees/internally displaced people all over the world.
Ioana Ciucă
I have learnt a considerable amount about time series analysis and how to think about bias in a machine learning model properly.
Taha Yasseri
Turing Fellow Taha Yasseri’s work aims to understand human social behaviour through analysing data produced by our digital lives
Camila Rangel Smith
In our first REG spotlight Research Data Scientist Camila Rangel Smith discusses her background in high energy physics and her current work helping to monitor the resilience of ecological systems
Malvika Sharan
As as a Senior Researcher for the Tools, Practices and Systems programme and a co-lead of The Turing Way Malvika Sharan is passionate about enabling collaborative culture, mentorship and inclusive practices in data science.
Omar Guerrero
ESRC-Turing Fellow Omar Guerrero’s work translates scientific research into tools for governments that can help inform public policy
Mariarosaria Taddeo
Dstl Ethics Fellow Mariarosaria Taddeo’s work sits at the crossroads of digital ethics, philosophy of information, and war ethics
Sam Miller
A doctoral student at Warwick Business School, Sam Miller's research applies machine learning and imaginative insights to data, like combining the dark web and Wikipedia
