Tom Wemyss

I'm a PhD student at UCL looking at how smartphone imaging can act as an adjunct to frontline clinical decision making.

In my spare time, I advise OKKO Health on vision science.

My goal is to design and create software and processes to solve problems in data science and healthcare - from modelling vision deficiencies, to patient engagement, to comparative genomics.

I've written about some of my projects below. If you have any questions, or if you've got a project you'd like some input on, please feel free to get in touch with me via hey@to.mw.

Articles

Sample projects

Publications

  1. Goel H., Wemyss T. A., Harris T., et al (2021) Improving productivity, costs and environmental impact in International Eye Health Services: using the ‘Eyefficiency’ cataract surgical services auditing tool to assess the value of cataract surgical services. BMJ Open Ophthalmology doi.org/10.1136/bmjophth-2020-000642 (Access PDF)
  2. Tromer E. C., Wemyss T. A., Waller R. F., and Akiyoshi B. (2021) Repurposing of Synaptonemal Complex Proteins for Kinetochores in Kinetoplastida. Open Biol. doi.org/10.1098/rsob.210049 (Access PDF)
  3. Crossland M.D., Dekker T. M., Hancox J., Lisi M., Wemyss T. A., and Thomas P. B. M. (2021) Evaluation of a Home-Printable Vision Screening Test for Telemedicine. JAMA Opthalmology doi.org/10.1001/jamaophthalmol.2020.5972 (Access PDF)
  4. Veto P., Thomas P. B. M., Alexander P., Wemyss T., and Mollon J. D. (2020) The last channel: Vision at the temporal margin of the field. Proceedings of the Royal Society B 287, 20200607 doi.org/10.1098/rspb.2020.0607 (Access PDF)

Education

2020-

PhD in Medical Imaging

 

(University College London)

EPSRC studentship for the UCL CDT in Intelligent, Integrated Healthcare Imaging.

Project: Developing new smartphone imaging technologies as adjuncts to front line clinical decision making.

2020-2021

MRes Medical Imaging, Distinction

 

(University College London)

Project: "Development of affordable smartphone imaging technology to be used in screening for maternal and neonatal anaemia"

Taught modules:
  • Machine Learning in Medical Imaging
  • Research Software Engineering with Python
  • Computational MRI
  • User-Centred Data Visualisation
2019-2020

MSci Biochemistry

 

(University of Cambridge)

Project: "Re-inventing chromosome segregation: evolution of the kinetoplastid kinetochore"

2016-2019

BA Natural Sciences

 

(University of Cambridge)

Final-year project: "Is Sequence Information in the 3’ UTR linked to mRNA regulation in Trypanosomes?"

Computing Skills

Programming skills

Academic Skills

Manufacturing skills