Turing Fellows data science insights

Introducing our Turing Fellows

Jean Golding Institute blog

Read all our latest blogs

Turing Fellow Role Research Interests Link to blog

Bill Browne

 Professor of Statistics 

 

Statistical methods and software for realistically modelling data that has underlying dependence structure, and in particular hierarchical or multilevel structure. Often very collaborative focussing on specific problems in specific disciplines. Explaining methods / creating software for applied  researchers which has led to interests in automation of statistical modelling approaches and of teaching statistics.  Bill Browne's blog

Philip Hamann 

NIHR Clinical Lecturer in Rheumatology & Turing Fellow 

Developing artificial intelligence (AI) methods to monitor and manage individuals with rheumatoid arthritis remotely using remotely captured data from smartphones and wearables. Philip Hamann's blog
Genevieve Liveley

Reader in Classics and Turing Fellow 

Narratologically inflected studies of the ancient world and its modern reception. Genevieve's most recent book, Narratology (OUP) exposes the dynamic (mis)appropriation of ancient scripts that gives modern narratology its shape. New research, on the ancient and future (hi)stories of AI and robots, builds on this work, and seeks a better understanding of the story frames, schemata, and scripts that programme cultural narratives about human interaction with artificial humans, automata, and AI – from across the last 3000 years. Genevieve Liveley's blog
Paul Wilcox Professor of Dynamics, Turing Fellow 

Ultrasound, signal processing and imaging applied to Non-Destructive Evaluation (NDE) of safety-critical components and structures 

 
Paul Wilcox's blog
Levi John Wolf  

Lecturer in Quantitative Human Geography 

Fundamental computational and mathematical challenges that geography poses for social science. Many social problems involve situations where “who you’re around” can affect what you do, or who you’re connected to can impact what you’re able to do. Quantitative geography, as a domain, seeks to use information about geographical structures & relationships to do better social science. I develop new mathematical models or algorithms in applications across a broad range of problems in elections, campaigns, segregation & sorting, urban analytics, and inequality Levi John Wolf's blog 

We talked to some of our Turing Fellows and ran a blog series to find out what their research interests are, what the big issues are in data science and data-intensive research in their areas, interesting publications they recommend and what's next in their field. 

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