I am a PhD student at the Mathematics for Real-World Systems Centre for Doctoral Training. My research interests include approximating network processes and modelling dynamic networks, particularly in reference to the spread and control of sexually transmitted infections. As well as my research, I coordinate the centre's epidemiology reading group. Outside of mathematics, I have a keen interest in the history and philosophy of science.
My PhD focusses on how the topological and temporal structure of sexual networks affects the control of sexually transmitted infections (STIs), in collaboration with Public Health England, and under the supervision of Matt Keeling. Currently, my research is focused on understanding the errors introduced by performing moment-closure approximations when modelling epidemics on static networks, particularly in the presence of waning immunity.
MSc Mathematics of Systems (Distinction) - University of Warwick (2016-2017)
BSc Mathematics & Philosophy (1st Class) - University of Glasgow (2011-2015)
Thomas G Holt Prize for Logic (2014)
Leng, Trystan and Matt J. Keeling. "Concurrency of partnerships, consistency with data, and control of sexually transmitted infections." Epidemics (2018)
Leng, Trystan, Gareth Leng, and Duncan J. MacGregor. "Spike patterning in oxytocin neurons: Capturing physiological behaviour with Hodgkin-Huxley and integrate-and-fire models." PloS one 12.7 (2017)
Conferences, Summer Schools, Workshops
- 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 Warwick, June 2017)
- BioDynamics Workshop (University of Exeter, September 2016)
Office: D2.11 (Zeeman Building)