2021 Intake
Student |
Phd Topic |
Supervised by |
---|---|---|
Investigating the role of symptom severity on health economic outcomes
|
Dr Ed Hill (Maths) and Professor Matt Keeling (Mathematics and Life Sciences) |
|
Designing actively robust products with Bayesian optimisation |
Professor Juergen Branke (WBS) |
|
Thematic Network Modelling for Digital Ecosystems |
Dr Paolo Turrini (Computer Science) and Dr Marya Bazzi (Maths) |
|
Leveraging biomolecular simulations to understand and predict the Blood-Brain-Barrier permeability of drugs |
Dr Gabriele Sosso (Chemistry) and Dr Phill Stansfeld (Life Sciences) |
|
Synthesising behavioural and epidemiological models and their methodologies to simulate predictive spread of infectious diseases |
Dr Ed Hill (Maths and Professor MikeTildesley (Maths/Life Sciences) |
|
Developing quantitative models of tissue morphogenesis using vertex models with boundary constraints |
Dr Timothy Saunders (Medical School) and Professor Till Bretschneider (Computer Science) |
|
Nash Neural Networks: Inferring Utilities from Optimal Behaviours in Epidemics |
Professor Matthew Turner (Physics) |
|
Control of opinion dynamics in multiple dimensions |
Dr Susana Gomes (Maths) and Professor Marie-Therese Wolfram (Maths) |
|
A/B testing with a changing context |
Professor Jurgen Branke (WBS) |
|
Bayesian Optimization for Dynamic Optimization Problems
|
Professor Jurgen Branke (WBS) |
|
MSc OnlyObed Nwachukwu:Graduated in 2022 with an MSc in Mathematics of Real-World Systems Ryan Teo: Graduated in 2022 with an MSc in Mathematics of Real-World Systems |