Dr Weini Huang

Profile

We are looking for a motivated PhD student, pls follow the link

https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=5459

Weini Huang currently works on modelling cancer evolution and species interactions in biological systems. Before being a lecturer in mathematical biology in 2018, she worked as a postdoctoral researcher in the Barts Cancer Institute, QMUL for modelling cancer spatial heterogeneity and the evolution of tumour resistance. She obtained her PhD in 2012 in Evolutionary Theory in the Max Planck Institute of Evolutionary Biology in north Germany.

Currently, Weini supervises four PhD students in the topics of evolutionary theory with application in species coevolution and cancer dynamics. Weini is interested in understanding how diversity and population patterns are formed and maintained in nature/human cell populations through theoretical approaches as well as their connections with experimental/clinical observations. She collaborates with experimental evolution groups and cancer biologists/clinicians, such as the evolution of trade-offs in a bacteria-ciliate system and drug resistance in ovarian cancer, ecDNA copy number distribution, mtDNA dynamcis in healthy liver.

Undergraduate Teaching

Differential Equations (2017-2018,2019-2020, 2020-2021)

Postgraduate Teaching

Complex Systems (2018-2019)

Research

Publications

Google Scholar Profile

1. Werner et al. (2020) Measuring single cell divisions in human cancers from multi-region sequencing data. Nat. Comm., 11, 1035.
2. Retel, Kowallik, Huang et al. (2019) The feedback between selection and demography shapes genomic diversity during coevolution. Science Advances 5 (10), eaax0530.
3. Chkhaidze et al. (2019) Spatially constrained tumour growth affects the patterns of clonal selection and neutral drift in cancer genomic data. Plos Computational Biology, 5(7):e1007243.
4. Boddy, Huang, Aktipis. (2018) Life History Trade-Offs in Tumors. Current pathobiology reports 6 (4), 201-207. (Invited Review)
5. Park, Pichugin, Huang et al. (2019) Population size changes and extinction risk of populations driven by mutant interactors. Physical Review E 99 (2), 022305
6. Baker A-M, Huang et al. (2017). Robust RNA-based in situ mutation detection delineates colorectal cancer subclonal evolution. Nat. Comm., 8 (1), 1998.
7. Huang et al. (2017) Dynamical trade-offs arise from antagonistic coevolution and decrease intraspecific diversity. Nat. Comm 8 (1), 2059.
8. Amado, Fernández, Huang et al. (2016) Competing metabolic strategies in a multilevel selection model. Royal Society Open Science, 3:160544.
9. Huang et al. (2016). A resource-based game theoretical approach for the paradox of the plankton. PeerJ, 4:e2329.
10. Huang, Hauert, Traulsen. (2015) Stochastic game dynamics under demographic fluctuations. Proceedings of the National Academy of Sciences, 112:9064-9069.
11. Amado, Huang et al. (2015). Learning process in public goods games. Physica A: Statistical Mechanics and its Applications., 430:21-31.
12. Huang, Werner, Traulsen. (2012) The impact of random frequency-dependent mutations on the average fitness. BMC Evolutionary Biology, 12:160.
13. Huang et al. (2012) Emergence of stable polymorphisms driven by evolutionary games between mutants. Nature Communications, 3:919.
14. Huang, Traulsen. (2010). Fixation probabilities of random mutants under frequency dependent selection. Journal of Theoretical Biology, 263(2):262∼ 268
15. Zhang, Liu, Huang et al (2008). Occurrence of Nematode parasites in raptors in Beijing, China. Journal of Raptor Research, 42(3):204∼209.

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