
Yue Liu
Status
Postgraduate Student
Research groups
Address
Mathematical Institute
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
Major / recent publications
- Yue Liu, Philip K Maini, and Ruth E Baker. Control of diffusion-driven pattern formation behind a wave of competency. arXiv preprint arXiv:2110.07990, 2021. (in review)
- Dario Domingo, Stanislaw Biber, Gabriele Dian, Patrick Dorey, Kays Haddad, Paul Heslop, Ingrid Holm, Yue Liu, and Raymond Pang. Trans-national equitable strategies of vaccine distribution during the covid-19 pandemic. Mathematics in Industry Reports, 2021.
- Yue Liu, Elisabeth G Rens, and Leah Edelstein-Keshet. Spots, stripes, and spiral waves in models for static and motile cells. Journal of Mathematical Biology, 82(4):1–38, 2021.
- Andreas Buttenschön, Yue Liu, and Leah Edelstein-Keshet. Cell size, mechanical tension, and gtpase signaling in the single cell. Bulletin of Mathematical Biology, 82(2):28, 2020.
- Yue Liu. Analysis of pattern formation in reaction-diffusion models for cell polarization. Master’s thesis, University of British Columbia, 2019.
- Yue Liu, John Milton, and Sue Ann Campbell. Outgrowing seizures in childhood absence epilepsy: time delays and bistability. Journal of Computational Neuroscience, 46(2):197–209, 2019.
- Priyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Ershad Banijamali, Zhitang Chen, and Pascal Poupart. Online algorithms for sum-product networks with continuous variables. In Conference on Probabilistic Graphical Models, pages 228–239, 2016.
Research interests
- Modelling of biological systems with partial differential equations (PDEs) and agent-based models
- Numerical analysis, asymptotic analysis, bifurcation and dynamical behaviors of PDEs
- Combining machine learning approaches with mechanistic modelling toward optimal control of biologial systems
Further details
DPhil student in mathematical biology. Stipendiary lecturer of mathematics at St. Hugh's College.
Teaching
- HT2022: C5.2 Networks (tutor), Prelim Dynamics (St. Hugh's), A7 Numerical Analysis (St. Hugh's)
- MT2021: B5.2 Applied Partial Differential Equations (tutor), Prelim Geometry (St. Hugh's)
- TT2021: ASO Mathematical Modelling in Biology (St. Hugh's)
- HT2021: B8.3 Mathematical Models of Financial Derivatives (tutor), A7 Numerical Analysis (St. Hugh's)
- MT2020: B5.5 Further Mathematical Biology (tutor), A2 Metric Spaces and Complex Analysis (St. Hugh's)
- TT2020: ASO Mathematical Modelling in Biology (St. Hugh's)
- HT2020: C8.2 Stochastic Analysis and PDEs (TA), A7 Numerical Analysis (St. Hugh's)
- MT2019: C5.12 Mathematical Physiology (TA), C6.5 Theories of Deep Learning (TA)