Dr Han Liang Gan

Lecturer (Data Analytics)

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. (2021). Stationary distribution approximations for two-island and seed bank models. In Asia-Pacific Seminar in Probability and Statistics. Retrieved from

  • 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), 625-667. doi:10.1214/20-AAP1600

  • Fang, X., Gan, H. L., Holmes, S., Huang, H., Peköz, E., Röllin, A., & Tang, W. (2020). Arcsine laws for random walks generated from random permutations with applications to genomics. arXiv. Retrieved from

  • Gan, H. (2019). Stein's method and duality of Markov processes. arXiv. Retrieved from

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