Research output per year
Research output per year
Personal profile
Overview
After working in sales for a numbe of years, I started my academic career in 2009 with an undergraduate degree in computer science, where I came across machine learning in a 3rd year unit. The degree lead to a PhD at the University of Manchester in 2012 where I've been ever since, graduating in 2017. Since then I worked as a research associate for a few years, most noteably on a project using machine learning to automatically detect osteoporotic fractures in iDXA images, before accepting a teaching contract at the start of 2023. Since then I've been working on various courses, including the Maths, Stats and Machine Learning unit of our Clincial Data Science PGCert, and various units on the Health Informatics MSc we run in conjunction with UCL. I am passionate about how AI/ML can be used for the good of society, especially in healthcare, but also deeply worried about how it will actually be used in practice.
Further information
Email: [email protected]
Teaching
complete tomorrow
Education/Academic qualification
Doctor of Philosophy, Representation learning with a temporally coherent mixed-representation. , The University of Manchester
Sept 2012 → Jul 2017
Award Date: 2 Aug 2017
Areas of expertise
- QA75 Electronic computers. Computer science
Fingerprint
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Research output
- 2 Conference contribution
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Development of a machine learning-based fully automated hip annotation system for DXA scans
Ebsim, R., Lindner, C., Faber, B., Frysz, M., Saunders, F. R., Gregory, J. S., Aspden, R. M., Parkinson, J., Harvey, N., Tobias, J. & Cootes, T., 8 May 2020, (Accepted/In press) Proceedings of the Bone Research Society Annual Meeting 2020. John Wiley & Sons Ltd, (Journal of Bone & Mineral Research).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Exploring a mixed representation for encoding Temporal Coherence
Parkinson, J., Sandouk, U. & Chen, K., Sept 2016, Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD 2016) . p. 347-360 14 p.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open AccessFile234 Downloads (Pure)
Thesis
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Representation learning with a temporally coherent mixed-representation
Parkinson, J. (Author), Chen, K. (Supervisor) & Shapiro, J. (Supervisor), 3 May 2017Student thesis: Phd
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