PhD Supervision
I welcome applications from prospective PhD students. These can be made through the Departmental Application page, however I am happy to answer any preliminary questions. My research interests lie in probabilistic and stochastic modelling, primarily with applications in ecology and evolution. Specific projects can be varied to suit the applicant. For more insight into what I'm currently working on, Google Scholar is a good indicator.
Xiaoyuan (Philip) Liu
2020-2024
Philip obtained a BSc in Mathematics from the University of York in 2019, before moving onto complete an MSc in Mathematical Physics at the University Of Edinburgh. In 2020 he joined the University of York's PhD programme in Mathematics, cosupervised by co-supervised by George Constable and Jon Pitchford. So far Philip has worked on problems from ecology and evolutionary biology, but he also has interests in cancer modelling. His work can be found below:
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2023 - Feasibility and stability in large Lotka Volterra systems with interaction structure, Physical Review E, X. Liu, G.W.A. Constable, J.W. Pitchford
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2023 - Parthenogenesis, sexual conflict and the evolution of oogamy, bioRxiv, X. Liu, J.W. Pitchford, G.W.A. Constable
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2023 - The evolution of parthenogen fertilization rates in switching environments: from facultative cell-fusion to oogamy, bioRxiv, X. Liu, J.W. Pitchford, G.W.A. Constable
Yvonne Krumbeck
2018-2022
In 2015, Yvonne completed a BSc in Physics at the University of Münster. Fascinated by non-linear dynamics, they entered the Master’s programme in Complex Adaptive Systems at the University of Gothenburg, graduating in 2018. Yvonne's PhD was co-supervised by George Constable and Tim Rogers from 2018, with a successful defence in 2022. Yvonne's work can be found below:
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2022 - Stochastic mathematical biology in ecology and evolution - University of Bath PhD Thesis, Y. Krumbeck
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2021 - An Invitation to Stochastic Mathematical Biology, Notices of The AMS, G.W.A. Constable, Y. Krumbeck, T. Rogers
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2021 - Fluctuation spectra of large random dynamical systems reveal hidden structure in ecological networks, Nature Communications, Y. Krumbeck, Q. Yang, G.W.A. Constable, T. Rogers
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2021 - Behind The Paper - Fluctuations Reveal Hidden Structures In Ecosystems, Y. Krumbeck
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2020 - Fitness differences suppress the number of mating types in evolving isogamous species, Royal Society Open Science, Y. Krumbeck, G.W.A. Constable, T. Rogers
