Dr Han Liang Gan


Qualifications: PhD UniMelb

Contact Details

Extension: 6032

Research Interests

My main field of research is in applied probability theory, particularly in distributional approxmations using Stein's method. Applications of my work can be found in a variety of fields such as population genetics, random graph theory, computational biology and queueing systems to name a few.

Teaching Commitments

Recent Publications

  • Gan, H. L., & Ross, N. (2021). Stein's method for the Poisson-Dirichlet distribution and the Ewens Sampling Formula, with applications to Wright-Fisher models. The Annals of Applied Probability, 31(2). doi:10.1214/20-AAP1600

  • Gan, H. L., & Kolaczyk, E. D. (2018). Approximation of the difference of two Poisson-like counts by Skellam. Journal of Applied Probability, 55(2), 416-430. doi:10.1017/jpr.2018.27

  • Gan, H. L., Röllin, A., & Ross, N. (2017). Dirichlet approximation of equilibrium distributions in Cannings models with mutation. Advances in Applied Probability, 49(3), 927-959. doi:10.1017/apr.2017.27

  • Barbour, A. D., Gan, H. L., & Xia, A. (2015). Stein factors for negative binomial approximation in Wasserstein distance. Bernoulli, 21(2), 1002-1013. doi:10.3150/14-bej595

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