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Dr Christopher Bull Ph.D

Research Associate

Christopher Bull

Lancaster University

InfoLab21

LA1 4WA

Lancaster

Research overview

My research interests lie in exploring diagnostic systems using digital sensing and IoT. My current focus within the SAMS project is on the early detection of mild cognitive impairment and neurodegenerative diseases, such as Alzheimer’s disease, to enable earlier treatment and better quality of life for patients. This is achieved through capturing data (low-level mouse and keyboard, as well as higher-level contextual information) from a participant’s computer, and analysing the data to determine patterns of usage through data mining and natural language processing.

I also have a particular interest in the ethical challenges of healthcare technologies and sociotechnical systems.

Profile

My research interests lie in exploring diagnostic systems using digital sensing and IoT. My current focus within the SAMS project is on the early detection of mild cognitive impairment and neurodegenerative diseases, such as Alzheimer’s disease, to enable earlier treatment and better quality of life for patients. This is achieved through capturing data (low-level mouse and keyboard, as well as higher-level contextual information) from a participant’s computer, and analysing the data to determine patterns of usage through data mining and natural language processing.

My PhD research explored the education of software engineers using a studio-based approach. This research was grounded in transferring knowledge of design education into a software engineering context. It provided insight and experience of qualitative research methods and introduced me to ethical research; I feel that experience and understanding of qualitative techniques are an important part of a researcher’s toolkit when exploring digital healthcare. This PhD also gave me experience of implementing and teaching within a studio-based SE course.

I also have a particular interest in the ethical challenges of healthcare technologies and sociotechnical systems.

I have a strong interest in applying various techniques to complex problems in the digital healthcare field, and thrive in collaborative scenarios.

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Qualifications

Lancaster University:

PhD Digital Innovation, HighWire DTC (School of Computing and Communications)

  • 2010 – 2015 

MRes Digital Innovation, HighWire DTC (Computing, Managment & Design)

  • 2009 – 2010
  • Grade: Distinction

BSc (Hons) Computer Science with Software Engineering, Computing Department

  • 2006 – 2009
  • Grade: First-class honours

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