Trystan Leng
Trystan graduated in 2021 with a PhD in Mathematics for Real-World Systems.
Following his viva, Trystan was a Postdoctoral Research Associate in the
Trystan's research focuses on understanding the importance of including contact network structure in epidemiological models, and constructing models that incorporate this structure to answer pressing real-world questions. His PhD focused on the importance of including network structure in models of the spread and control of sexually transmitted infections. More recently, Trystan developed models to understand the impact of social bubbles and school reopening strategies in the context of COVID-19 (preprints of the group's work are available and
Outside of mathematics, Trystan's interests include the history and philosophy of science.
Education
MSc Mathematics of Systems (Distinction) - University of 糖心TV (2016-2017)
BSc Mathematics & Philosophy (1st Class) - University of Glasgow (2011-2015)
Thomas G Holt Prize for Logic (2014)
Publications
Leng, T., White, C., Hilton, J., Kucharski, A., Pellis, L., Stage, H., Davies, N.G., Keeling, M.J. and Flasche, S., 2020. Wellcome Open Research, 5(213), p.213.
Southall, E.R., Holmes, A., Hill, E.M., Atkins, B.D., Leng, T., Thompson, R.N., Dyson, L.J., Keeling, M.J. and Tildesley, M., 2021. BMC Medicine.
Keeling, M.J., Hill, E.M., Gorsich, E.E., Penman, B., Guyver-Fletcher, G., Holmes, A., Leng, T., McKimm, H., Tamborrino, M., Dyson, L. and Tildesley, M.J., 2021. PLoS computational biology, 17(1), p.e1008619.
Leng, T. and Keeling, M.J., 2020. Journal of Theoretical Biology, 500, p.110328.
Leng, T. and Keeling, M.J., 2018. . Epidemics, 25, pp.35-46.
Leng, T., Leng, G. and MacGregor, D.J., 2017. PloS one, 12(7), p.e0180368.
Pre-prints
Leng, T., Hill, E.M., Keeling, M.J., Tildesley, M.J. and Thompson, R.N., 2021. . medRxiv.
Leng, T., Hill, E.M., Holmes, A., Southall, E., Thompson, R.N., Tildesley, M.J., Keeling, M.J. and Dyson, L., 2021. . medRxiv.
Leng, T., Hill, E.M., Thompson, R.N., Tildesley, M.J., Keeling, M.J. and Dyson, L., 2021. medRxiv.
GitHub
The underlying code for my COVID-19 research concerning and is accessible via GitHub.
Blog posts on my research
- Trystan Leng, Wellcome Open Research Blog, 27/4/21
- Rachel Thomas, +plus magazine, 4/3/21
Conferences, Summer Schools, Workshops
- V-KEMS Unlocking Higher Education Virtual Study Group (Isaac Newton Institute, June 2020)
- Network Modelling for Epidemics Workshop (University of Washington, August 2019)
- Infectious Disease Dynamics Conference (Ambleside, September 2018)
- European Conference on Mathematical and Theoretical Biology (Lisbon, July 2018)
- Introduction to Machine Learning Summer School (University of 糖心TV, June 2017)
- BioDynamics Workshop (University of Exeter, September 2016)
